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9,970 | https://devpost.com/software/sentiment-analysis-based-ticket-prioritisation-system | AirDesk Block - Dashboard
AirDesk Block - Configure AWS Credentials
Use form to bring ticket data to Airtable
Manage your Service desk using AirDesk block and reply to your customers from the block
Inspiration
Customer service expectations are becoming more demanding as time goes on. Latest study shows that 88% of service professionals believe that customers have higher expectations than they did in the past.
Meeting these expectations builds trust with your customers. Missing them creates more frustration. As the volume increases, the "first-in, first-out" system that most company employ means that customers with urgent needs get stuck at the back of the line. So if a system that is important for a business to make money goes down, the higher the loss, the more severe the impact, the higher the priority.
Priority support can help your team close the gap between how customers feel they should be treated and the level of support they actually receive. Team's response time should be dictated by the level of support your customer has and the urgency of the issue they're experiencing. Priority support highlights these customers and helps your team resolve their issues in a timely manner.
Not sure how to create this process for prioritisation? We use sentiment analysis to determine urgency and importance of the ticket and place it accordingly in the queue.
What it does
Airdesk analyses the sentiment of the tickets using AWS comprehend. By analysing the sentiment, it determines the urgency, importance and criticality of the issue described and ranks the ticket and positions them accordingly in the queue. This can be used by organizations and support represntatives to prioritize support tickets or feedback with low/negative sentiment score over the others.
It categorises as follows:
Low: These questions are from people who aren't active customers or leads. This includes sponsorship requests and general customer feedback that doesn't require an immediate response.
Medium: These are questions or issues that aren't blocking customers from using the product, but they do require a quick response.
High: These issues prevent using the product or service effectively. They require an immediate response.
Urgent: These are issues that either completely blocks the use of the product or are coming from upset customers who need their case escalated. These problems should always be your top priority.
AirDesk block can also be used for the following use cases:
It can be used to categorize reviews and feedback as positive, negative and neutral.
It can be used to understand the shortcomings of products by getting keywords from negative reviews for the product.
Organizations can use the Block's dashboard to understand the overall status of their support queue.
Customer support represntatives can be assigned to work on tickets without leaving the block
Customer support represntatives can reply to tickets without leaving the block
It is an end to end solution for organizations that want to use Airtable for support.
See the block running
How we built it
Once a new ticket along with this description is entered into the table, the description of the ticket is automatically sent to AWS comprehend that uses machine learning to find insights and relationships in text .
The Machine learning algorithms are used to accurately identify specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and used to learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents).
Based on this sentiment analysis, the ticket is categorised into low, medium, high or critical priority and ranked and sorted accordingly in Queue.
Accomplishments that we're proud of
We are proud of being able to build an application in the domain in which we have no prior knowledge.
What we learned
We learnt how easy it is to build and publish an application with Airtable and how it can be further expanded with custom blocks. Also, how seamlessly we can use tables in airtable. Anyone with no prior knowledge on sql or nosql database can build amazing application with Airtable.
What's next for Sentiment Analysis based Ticket Prioritisation System
Ability to customise priority by including a rule based system.
Expand usage of the block beyond service desk providers and use it to analyze sentiments from movie reviews, product reviews, app reviews etc..
How to run this block
Create a new base
Create a new block in your new base (see
Create a new block
)
From the root of your new block, run
block run
.
4.For AWS Region, type a region from region column in the table at the following link [AWS Regions}(
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RegionsAndAvailabilityZones.html#Concepts.RegionsAndAvailabilityZones.Availability
)
Configure AWS credentials of an IAM user who has FullAccess to AWS Comprehend service.
Create IAM user
Create AWS Credentials
Built With
airtable
amazon-web-services
react
Try it out
github.com | AirDesk | An end-to-end Customer Service block that allows organizations to prioritize support tickets based on urgency of the issue by performing sentiment analysis on the ticket description | ['Priyadarshini Murugan', 'Sumanth Muni'] | [] | ['airtable', 'amazon-web-services', 'react'] | 40 |
9,970 | https://devpost.com/software/pivot-chart-block | using sales CRM
using elmawkaa base
airtable block webhook
Inspiration
Pivot Chart Block:
In our company airtable base, I wanted to get the prices for each products for the past 2 months in order to be able to tell our sales team estimates for the pricing so that they can answer our customers directly by phone or on chat, without telling them to wait for the prices from our vendors
Airtable Block Webhook:
Another custom block I made is airtable block webhook which opens the possibility for anyone to use their custom webhooks and send specific records fields to do whatever they want
here's the github link:
https://github.com/mahmouds12/airtable-blocks-webhook
What it does
Pivot Chart Block:
Getting statistical data (minimum, maximum, mean, median, sum) for specific numerical field (y-axis) grouped by specific field (x-axis) and show them combined on a bar chart to better visualize your data
Airtable Block Webhook:
Enables airtable user to connect to their custom webhooks to do whatever they want with the data sent.
examples:
press a button to send sms/whatsapp/email to a contact (by selecting the records) to remind him of the next action using your favorite service provider
send data from selected records for analysis and get back the results on another field
How I built it
Using react and js
Challenges I ran into
Thinking of idea that is simple but beneficial from the business point of view was a challenging one. I wanted to build something that we can make use of in our business airtable base, not just for the contest
Accomplishments that I'm proud of
Time to learn, practice, and apply was limited for me as I knew about the contest late. But I am glad that I was able to learn and apply in this limited time.
What I learned
I learned a lot from airtable custom block creation process thanks to the documentation and examples... it's a very important feature and will make us more hooked to airtable.
What's next for Pivot Chart Block
improving it to contain a lot of advanced chart features
Airtable Block Webhook:
Making it more customizable to different needs, and handling responses for general purposes
Built With
chartjs
javascript
npm
react
Try it out
github.com
github.com | Pivot Chart Block & Block Webhook | summarize numerical data on charts showing (maximum, minimum, sum, average, and median) numbers and the corresponding records on linear and logarithmic scale | ['mahmoud habib'] | [] | ['chartjs', 'javascript', 'npm', 'react'] | 41 |
9,970 | https://devpost.com/software/intellischool-block-on-airtable | GIF
intelliSchool - Home
GIF
intelliSchool - Quiz
Home
Settings
Automatically generated Quiz
Create Notes
Pick a Note to Study
Summary and Key Points generated automatically from the video or document
intelliSchool is an Airtable block that automatically generates quiz, summary and key points for any document, video or notes given by student using Natural Language Processing and Machine Learning
Inspiration
In the midst of COVID-19, the whole world has realised the power of online learning and the impact it can have on millions of students. Be it K-12 or higher education, virtual learning is talk of the town. However, many student are facing challenges or stressful circumstances and worry that they are falling behind and their grades will suffer.
Students find it difficult to sit through the lectures. It gets monotonous at times, they tend to lose concentration and internet connectivity is not good for all. Besides, teachers can’t ensure students’ engagement and check if they are understanding the concepts taught online.
Looming over the entire enterprise is a cloud of fear and urgency: it is critical that remote learning succeeds if students are to avoid setbacks.Colleges and Schools have been keen to emphasise that special measures will be taken to ensure students do not lose out as a result.
To help students facing internet connectivity issues, schools and colleges record lectures on different subjects and upload them on their YouTube channel for students to download and watch later. In this process, there is a lack of feedback; there is no one to test you if you've really understood what you've been listening to.
What if there is a mechanism that automatically generates a quiz for any video/documents shared/notes taken by students to evaluate your understanding? Also, not every student likes to take notes. But all of us need something to refer to before an exam. What if there is someone who can automatically generate notes for you while you concentrate on listening to the lecture in the video?
What it does
For Students:
Are you one of those people who uses airtable to organize your coursework and self study material? We have got you covered.
With
intelliSchool
block, have all your class videos, notes, bookmarked links, documents all at one place. All the resources can also be tagged by course title/number for faster access.
Not just that!! Now comes the best part !!
Once you have added to Airtable, intelliSchool block will
automatically generates summary, notes/key points and Quiz for any material
such as video, documents, link, notes using
Machine Learning and Artificial Intelligence
and store it back in airtable.
Our block provides easy access to summary and key points, so that you can use it to refresh and retain content faster than having to go through the entire video or document all over again.
Our block also generates Quiz for you based on the coursework you are currently accessing. Using this you can self evaluate your understanding of the concept. This way the block can be used to bring an improvement in the individual's knowledge because they provide regular feedback to the students who acknowledge their shortcomings and work on them.
Research has proved that the order and organisation of learning activities affects the way information is processed and retained. So go ahead and use intelliSchool block to rock the exams!!
For Teachers:
Teachers spend a lot of time preparing content such as quizzes and notes to help their students. intelliSchool block can help them automate this process. Once teachers uploads the video, intelliSchool block will automatically generate key point, summary and Quiz. Teachers can share this among students so that they can spend this time on more useful tasks.
Document types supported
:
Video: mp4, mpeg etc..
Audio: mp3, wav etc..
Documents: .csv, .doc, .docx, .eml, .epub, .json, .html, .mp3, .pdf, .pptx, .txt, .xls, .xlsx etc..
intelliSchool block can also be used by professional. For Example: It can be used by professional to generate summary of meeting to be sent to their clients or team members.
intelliSchool - Home
intelliSchool - Quiz
How We built it
As and when user creates a new row in the airtable, it will send the corresponding video url, document url or texual content to the backend powered by Python, Machine learning and Natural Language processing.
If user entered a video url, then subtitle will be generated for it. On the other hand, if user added attachment, then content of that attachment will be extracted using Textract.
Once text extraction is done, Key points are selected using page rank algorithm. Using this key points, summary and Quiz will be generated automatically using Machine Learning and Natural Language Processing.
Challenges we ran into
Building a product with react for the first time was a challenge initially.
Accomplishments that we're proud of
We are proud of being able to learn React for the first time and building UI/UX using it within a short period of time.
What we learned.
We learnt about wide variety of use cases Airtable can be used for. I also learnt React framework for building the UI/UX.
What's next for intelliSchool Block on Airtable
Capture snapshots of important diagrams and formulae from the video and add it to Smart Notes
Create flash cards to help students learn easily
Add analytics to help teachers understand the topics that weren't answered correctly by students. This can be very useful for teachers to come up with new ways of teaching such complex topics
Add analytics for parents to better understand how their kids are performing
In smart notes section, we want show links to relevant websites to read more about the central topic of the video
Generate pre-requisites - add links to learn about most important sub-topics related to the video as pre-requisites
Built With
airtable
machine-learning
natural-language-processing
python
react
Try it out
github.com | intelliSchool Airtable Block | Airtable block that automatically generates quiz, summary and key points for any document, video or notes given by student using Natural Language Processing and Machine Learning | ['Sumanth Muni', 'Priyadarshini Murugan'] | [] | ['airtable', 'machine-learning', 'natural-language-processing', 'python', 'react'] | 42 |
9,970 | https://devpost.com/software/business-insights | Business Insights dashboard Custom Blocks
Business insights dashboard Standard Blocks
Customers List Custom block
Customer Details view Custom Block
Inventors List Custom Block
Inventors Details Custom Block
Browse branches
Monitor Inventory
Inspiration
Customers love to avail discounts and deals.
Business owners are constantly trying to increase sales by offering attractive deals. They wish to find trends in sales and suggestions of targeted deal recommendations for their loyal customers.
What is needed is a dashboard that empowers business owners with valuable insights from transactional data.
What it does
Our Air table dashboard helps business owner to visualise insights, sales and customer adoption trends, and promote contextual deals to customers based on their past transactions.
How I built it
Created Custom Blocks
Customers - A custom block for viewing reward points of customers, transactions, current and recommended deals for each customer.
Inventory - A custom block for viewing inventory stock details, recent stock bought and sold, current deals and recommended deals for a specific inventory item.
Branches - A custom block for browsing branches in a carousel style view.
Monitor Stock Inventory - A custom block for monitoring which inventory is running out of stock and needs refill etc.
Standard Blocks
Sales trends(daily/weekly) - Amount of sales by day and week.
Most popular deals - Popularity of deals.
Active deals - Number of deals.
Total customer rewards - Total reward points issued in a period.
Average weekly spend - Average weekly spend per customer.
Challenges I ran into
There was a learning curve initially for Air Table. But the documentation is awesome, so did not take much time after that to sort things.
Accomplishments that I'm proud of
We are able to use custom blocks beta version to create an insightful dashboard that can help business owners improve sales, plan promotions and increase customer adoption.
What I learned
Airtable API hooks and React
What's next for Business Insights
Integrating Blockchain as a rewards platform
Integrating machine learning to build a deal recommendation engine specific to the customer.
Built With
airtable
react
Try it out
github.com | Business Insights | Visualise insights and reward customers | ['Narayana M', 'Rajeshwar G'] | [] | ['airtable', 'react'] | 43 |
9,970 | https://devpost.com/software/mealy | meal capacity wizard
Inspiration
Childhope isan Ngo that needs meals delivery.to be able to ensure that members of the society sustain supply of their lives as against a lack of food.
What it does
Many volunteer organizations provide meals to seniors, healthcare workers, and people in need. Sometimes these meals are provided by local restaurants and sometimes the meals are created in-house.
How I built it
Leveraged custom blocks in airtable with reactjs . To plan capacity of meals and its demand . To supply those
meals.
Challenges I ran into
Using react as front end and learning custom blocks in airtable . Setting up volunteers to supply the meals and organizations to serve the meals.
Accomplishments that I'm proud of
Finishing the project
What I learned
What's next for Mealy
Built With
airtable
blocks
javascript
react
Try it out
github.com | Mealy | Allocate and source meals to the people who need | ['frans silva'] | [] | ['airtable', 'blocks', 'javascript', 'react'] | 44 |
9,970 | https://devpost.com/software/onboard-w2z4ra | Home View
Video Watch Video
Video and Exam View
Inspiration
During these uncertain times, the line between what to do and what not to do has become confusing. One day we are to not wear a mask and the next day we should. As companies begin to open (and then close again), many employees are getting frustrated because they are unsure about the restrictions that they should enforce at their facility.
I've seen this frustration several times from my recent visit of essential grocery shopping to my work-outs in boxing class. A grocery store attendant flat out and told me that he doesn't know what is approved in the store. He stated that he hears something on the news and then he comes to work and gets a different message from his manager. This is coupled with a different message from his co-workers.
This lack of knowledge and uncertainty can be dangerous for a business- from a legal aspect as well as health. This was the foundation of building Compliant.
Compliance videos are customary at companies and are great for disseminating the correct information. But to make these yearly videos and exams take days or even months.
My goal was to build a product that would be dynamic, simple to use, and fun to interact with.
What it does
Compliant content can be dynamically updated by HR.
Each employee is notified via email or text that they have a compliance video and exam to complete.
The user signs into their JourneyBinder (
www.journeybinder.com
) onBoard account and watch the latest content delivered by the AirTablesirtables block (TBD)
After the video is seen (which is also tracked), the employee answer the exam questions related to the video.
HR receives a notification that the employee is compliant
How I built it
I used ReactJS within Airblocks. Was able to do what I needed from the Development environment. I also used the API for JourneyBinder- but not showing that in the demo- to keep it focused.
Challenges I ran into
The first challenge is that I am VueJS person- so react syntax was somewhat different than I use day to day. Another challenge was finding the right balance of what I feel that Compliant should be. I had an entire list of features such as "raising hand" for help, info windows, etc. I went to the grocery store (and Starbucks) to survey employess and see what they would want-- and the message that I came back with is this:
It's needed
Kinda cool
Make it easy to use
Accomplishments that I'm proud of
I feel very accomplished in going through the AirBlock documentation. I was not knowledgeable about AirBlocks development environment and received a better understanding of how it can be used.
With this knowledge, I can now see MANY AirBlocks being created for JourneyBinder's onBoard platform. The onBoard platform a
What I learned
I learned how quickly it is to get an AirBlock app up and running within AirTables. I also learned how these type of apps can go seamlessly well with the JourneyBinder platform. I still need to do some more investigation in this area.
What's next for Compliant
Integration with JourneyBinder
will turn Compliant into a AirBlock tool that can be used on the JourneyBinder platform
-Features
-integration of email
-integration of "raised hand"
adding loads of more content with questions
My end goal to get this out along with the launch of my start-up, JourneyBinder. This will be my main channel of distribution.
Built With
airblocks
airtable
node.js
react
Try it out
github.com | Compliant | In these uncertain times we need a compliance systems that moves as fast as the ever-changing climate | ['Savalas Colbert'] | [] | ['airblocks', 'airtable', 'node.js', 'react'] | 45 |
9,970 | https://devpost.com/software/maneki-kdsrzt | Inspiration
Due to the existing mobility and social restrictions caused by COVID -19, the volunteering and social organisations are getting an enormous number of requests for help from the senior citizens because they have to stay home to avoid endangering their health. Most of the requests are pretty simple: buy some groceries, walk the dog, bring something from the post or drugstore, or simply talk over the phone. The NGOs and social services weren't ready for it. Neither technically, nor they have enough volunteers. Do you know how the process works in many volunteering organisations? They get the request and register it in one spreadsheet. Then they open another spreadsheet with the list of volunteers and start calling them in order to figure out who can help. Or send it to the chat of the volunteers. If no one can pick up the request, they start calling the volunteers from the list. Imagine you are a volunteer. A trained one. How long does it take for you to burn out and just stop picking up the phone when you are getting 25 calls per day? The truth is: to buy some groceries and bring them to the senior citizen, you don't have to be a trained volunteer. You can just be a neighbour who goes shopping anyway and can buy an extra carton of milk for a senior or take out their dog for a walk. But how will the neighbours know that the senior citizen needs help?
What it does
Maneki is a distributed volunteering platform that enables any person to make small good deeds and help people in need without committing to professional volunteering.
We provide a two-sided platform that empowers the neighbours to help senior people living nearby. For those who are willing to help we provide an app. You open an app and see the requests from the senior citizens on the map, pick up the nearest one, complete the task, and confirm it. You can do it in your free time or subscribe to the notifications about certain tasks in a certain radius.
Where the requests are coming from? We extract them automatically from the databases of the volunteering organizations. Yes, even from the spreadsheets. They can also add requests to the system manually. The organisation will be notified when the task is completed – they will see the change of the status in their database.
By simplifying volunteering, we ensure the safety of those who are most vulnerable at this time. If their needs are met with volunteer help, they will be happy to stay home and won’t risk their health by going out. The Maneki team also believes that seniors and other vulnerable people who are well taken care of, will feel less scared and lonely and it will make them feel valued. We also believe that those who are helping deserve help as well, and we want our heroes to be appreciated and aided.
How we built it
We use a core platform that was developed by the Czech startup founders. It is based on Flutter, Google Apps Script, Bootstrap, Material Design, Kubernetes, PostgreSQL, etc. It was developed for different purposes but can absolutely serve ours. We onboarded the main developer to our team and signed the contract for the lifetime licensing from his side for Maneki. He is also helping us with the development. We built our team from the industry professionals. We all have the day jobs, so we figured our priorities, built the processes, and the responsibility zones inside of the team.
Challenges we ran into
It’s uneasy to find programmers who can help you on the volunteering-basis. We are looking for grants and financing from the potential corporate partners to hire several people for the full-time roles: NGOs coordinator, foreign partners’ coordinator, marketing and PR specialist.
Accomplishments that we're proud of
We found the legal volunteers to help us and got all the paperwork in order. We are working with people’s data, so it’s crucial for us. We have a preliminary agreement with 2 volunteering organisations in Lithuania to start our pilot at the end of the next week. We finished our designs and finalised our landing page. We have an MVP. We have a clear vision of the future of Maneki. We have an amazing team. We have a partner who would help us to implement the digital identification and verification of the volunteers.
What we learned
We learned that the problem is even bigger than we expected: all the non-profits we talked to are experiencing the problems with the limited number of volunteers.
What's next for Maneki
We will launch the working product until the end of April 2020. We will start the pilots with 2 volunteering organisations. After the pilot, we will onboard more organisations, social services, and volunteers’ coordinators in Lithuania. After this, we are planning to launch in the neighbouring countries: Baltics, Nordics, Poland, Belarus, and the Czech Republic. We would also add more functionality. After the quarantine situation will be milder, there still will be people in need: from unfortunate families to the lonely disabled people. The volunteer would be able to choose, what kind of help they are willing to provide and subscribe to certain types of tasks and even the #channels that are aggregating the requests from certain volunteering organisations. We are planning to add “badges” for the volunteers. Badges will show the qualification of the volunteers and will be confirmed by the volunteering organisations. We are planning to add financial aid functionality, as well. E.g. there is a request from a senior citizen to buy some groceries, but the senior citizen needs someone to pay for it. The functionality will allow one to donate the money and transfer it to the volunteer who would do the actual purchase. Based on the non-profit platform, we will launch a commercial version of the Maneki. Imagine, you want to buy something in IKEA, but you don’t want to go there and are ready to pay someone to deliver it to you? Why not post your request on the platform, so people who are currently in IKEA could see it and pick up the task? The platform will take a small commission from each deal.
Built With
airtable
flutter
postgresql
react
redis
scaleway
springboot
Try it out
maneki.lt
app.maneki.lt | Maneki | Maneki is a multifaceted online platform for volunteers and organisations that makes volunteering experience fast and efficient, with no strings attached. | ['Kirill Osipov', 'Sergey Royz', 'Sandra Golbreich', 'Alex Mauzon'] | [] | ['airtable', 'flutter', 'postgresql', 'react', 'redis', 'scaleway', 'springboot'] | 46 |
9,970 | https://devpost.com/software/smart-text | Inspiration
AirTable is a very powerful platform for collaborating and analyzing numerical data, but there aren't a lot of features for text data. Yet, text data is everywhere, people spend huge amount of time dealing with them as part of their work: customer feedback, emails, chat records, social media posts, reports... You name it.
Normally, to get any kind of insight from text data, you need data scientists (or expensive, specialized enterprise software) to analyze them. This requires lots of programming, and expertise with Natural Language Processing.
We want to make it easy and accessible by everyone: just a few clicks + drag-and-drop. No coding required.
What it does
Smart Text lets you do basic data science for text data on AirTable with just a few clicks. With Smart Text, you can run natural language processing with any text data you select, and get insights such as sentiment score, keywords, most-frequently used nouns / adjectives, or topic clustering (coming soon). You can feed the insights back into your table, and share the results with others. No coding is required. Smart Text takes care of all the complexity under the hood.
How we built it
We already have an NLP engine, which we used to power many products we have built in the past (see qokka.ai). We repurposed the NLP engine and built a web-server with APIs as middle-layer, specifically for AirTable use cases. The web-server handles user sessions, security, data transformation, polling, and many other things.
In the frontend, we built a simple UI following AirTable's guideline, which communicates with our API server.
In this v0.1 release, we only implemented 5% of what we want to show on the UI. So far it is only using a tiny fraction of the functionalities we have for the engine :)
Challenges we ran into
Although we have had the idea for a long time, we only heard about this contest 4 days before the submission deadline. We had to forfeit a lot of sleep!
Also, we only have very minimal idle computing power we can use for this contest. If one person uses our block to analyze lots of records, or many people to use our block at the same time, the block might run really slow.
If we win the prize money, we could use that to upgrade the server and optimize our infrastructure, so it could power everyone on AirTable.
Accomplishments that we're proud of
We made it! We really built this in 4 days. Although it is far from perfect, it works most of the time. We tried it on some product review data (Sennheiser HD-650). It is first time we feel we could analyze text data so easily, and see what all these reviews are about in just a few seconds.
What we learned
AirTable is awesome. We can't wait to build more features for Smart Block and make the user experience seamless for more use cases. With the easy-import and rich-text tablecell features provided by AirTable, not only we can quickly port some of the fancy text analysis visualizations we already built in other products to AirTable, we could also make use of our powerful crawler, use AirTable as a database, and interactively guide users to collect more data. There are so many possibilities.
What's next for Smart Text
Lots of features:
Topic modelling and analysis
Text clustering
Auto segmentation for timestamped data (e.g. transcripts)
Great looking visualizations (again see qokka.ai), such as word clouds, zoomable clusters, etc.
Built-in multi-purpose crawler (e.g. if you have a list of e-commerce product links in your table, Smart Text can crawl the reviews for you and let you import them into the table, with just a few clicks)
Built With
docker
elasticsearch
express.js
javascript
kubernetes
machine-learning
natural-language-processing
node.js
react
redis
rest
scala
Try it out
github.com | Smart Text | Run machine learning for text data in a few clicks, get AI insights without code or math, Smart Text is your always-on data scientist on AirTable | ['Nina Wei', 'Aaron Li'] | [] | ['docker', 'elasticsearch', 'express.js', 'javascript', 'kubernetes', 'machine-learning', 'natural-language-processing', 'node.js', 'react', 'redis', 'rest', 'scala'] | 47 |
9,970 | https://devpost.com/software/aircharts | List of generated charts with Images
Data view for charts and selection options
Barchart
Line chart example
Pie Chart example
Leveled Pie chart example
Inspiration
I have many times encountered situations when I needed to share data from my Airtable base with customers. Sharing views is great but data is consumed much better when visualized.
Many times I have ended up using screenshots of Chart block and placing this on presentation. The dream was to be able to convert some of that chart data into a dashboard or at least a link/image that I can easily share.
What it does
The Aircharts block takes data from a view. It allows selecting the name column for the x-axis and up to 3 series of values. This interface is actually for me a more intuitive way of selecting data and gives me full control over axis labels and values. Ability to select a view also allows me to filter and sort data inside of the view, exactly the way I need for the chart.
Once the data is selected the block generates an image using quickchart.io and user can either copy link to the chart or save the image/link to Airtable.
How I built it
This is the first time I have touched anything React and probably 4th time using JavaScript (first 3 times was actually inside of Airtable's Scripting Block), so actually very slowly and with lots of research. I have started out with the simple chart example and modified it using ideas from other custom blocks examples.
Challenges I ran into
Not knowing React... Getting the data in and out to GlobalConfig was a bit problematic, also building layout in the boxes and making it look the correct way was time-consuming.
Accomplishments that I'm proud of
Being able to ship complete, functional block that does something useful. 2 weeks ago I had no clue if this is even going to be possible.
What I learned
A lot of React concepts and also that there is much more to discover to fully use all capabilities.
What's next for Aircharts
It would be great to be able to convert it long term into a dashboard, that companies could share with their clients. This dashboard could contain data from multiple views, different charts and dial as well as be auto - updated in regular intervals
Built With
airtable
javascript
quickchart.io
react
Try it out
github.com
airtable.com
www.business-automated.com | AirCharts | Airtable Chart block is great, but often it is necessary to share charts with external parties. Aircharts creates an image or a link that can be freely shared outside of Airtable. | ['Greg F'] | [] | ['airtable', 'javascript', 'quickchart.io', 'react'] | 48 |
9,970 | https://devpost.com/software/eclass-scheduler | Features
eClass Interface
eClass Interface - with Alerts of new Schedule
View details of each Class
Settings for Tutors
Welcome Screen
Responsive Design
Other Scenarios
Inspiration
Today, interactive e-learning is the in thing considering safety against ongoing pandemic. Even in normal circumstances, e-learning is a fun way to learn and improve upon our knowledge. However, based on our experience, interactive e-Learning is either just a video chat or a screen sharing session. We wanted to provide an intuitive, 'dynamic', 360-degree interface which is easier for the tutors as well as the learners, thereby making learning fun!
And so, we present
eClass Scheduler
-
Interactive
and
Dynamic
online classroom, where the tutor configures the Airtable with details of daily courses, like Meeting Invite, Notes, Videos, etc and Students can login and view their daily schedule and conduct their daily courses in an interactive manner.
What it does
eClass Scheduler
is a Airtable Block which provides an interactive interface where the learners and tutors come together on a single platform. The features of the app are:
Live Tracking
of Current Schedule
Alerts
on an upcoming Schedule Item - You need not worry on missing out a new class!
Live
Data Feed Updates
by Tutor
Discussion Forum
Intuitve Clock UI
for Bird eye View of entire day's Schedule
Unique
Colour Coded UI
for real time view of each class to easily understand the schedule
Directly connect to
Online Meetings
in embeded view - If Online Meeting does not support embedding in iFrames, it can be opened in a new window
View Notes/Videos
shared by the Tutor - with updates in Real Time by the Tutor
Responsive UI
- UI Changes itself based on screen size
Also, the block can handle any kind of scheduling scenarios and would be useful in handling other schedules like:
Meetings:
Where Meetings are configured in the Airtable and each individual can get all the information on a single screen
Task Management:
Where Team Lead configures tasks in the Airtable and the entire Team can get a view of all Tasks and can also join into a Web Meeting to discuss
Software Development:
Where the Technical Lead configures various tasks like development, testing, Bugs, etc and the developers and testers can easily interact and build a great product!
And Many More
...!
How I built it
eClass Scheduler
is an Airtable Block built using React and Blocks API.
The dynamic nature of Airtable, along with React's State based rendering makes it easier to pass on real-time updates to the learners. The tutor will configure the entire schedule in a single table, providing details of timings, notes, videos, online meeting invite and can even pass on live updates to the learners by updating the same table.
We took the
"Course Scheduling"
template which was primarily for class based course scheduling and added a new table to show how quickly that can be converted to a online course scheduler!
What's next for eClass Scheduler
More interactive Features can be added to make it more efficient and effective e-learning platform like assignments, tasks, etc
Built With
javascript
react | eClass Scheduler | Smart Virtual Learning Platform | ['Ninad M', 'Khyati Majmudar'] | [] | ['javascript', 'react'] | 49 |
9,970 | https://devpost.com/software/activity-feed-and-alerts | Features
Activity Feed - Record Updates
Activity Feed - New Record
Activity Feed - Single Record shows all Field Updates
Activity Feed - Delete Record
Configuration / Settings Screen
Responsive Design
Welcome Screen
Inspiration
Ofcourse, the inspiration for this block is the inspiration base of the Airtable Blocks Contest! Besides, this is a use case close to our heart as this functionality helps the user in getting details of all the data changes in real time. This functionality will be useful where data changes are dynamic and have multiple users working on same set of data
With
Activity Feeds and Alerts
we have taken the Inspiration base idea a step further with
Live Alerts
to ping users whenever the
Activity Feed
has a new entry!
What it does
Exactly as the name says!
Activity Feeds and Alerts
tracks the User Activity of all Active Users on the AirTable across all tables and provides real-time updates and alerts.
Each user can configure his own rules, where in the user can select
Multiple Tables
and/or
Views
on which he wants alerts. Any change in data, by any other user, he will get the activity feed with details on what changes are done.
Feed captures
Adding New Records, Deleting Records as well as each and every Updates to the Records.
Moreover, granular
Field Level Changes
are also captured, for all different kind of column types like
Single Text, Multi-Text, Linked Records, URL, etc
- What was the old value of the field to the new value of the field.
Features:
Keep a watch on
Multiple Tables
and/or
Views
Every user can
configure his own set of rules.
Does not depend on any Global configuration
Get Activity Feed in
Real Time
Open
up the Record directly from the Activity Feed
Get
color-coded
information on whether record was
created
/
updated
/
deleted
Get
Field level granular information
, what was updated and when (Old Value to New Value) - supports multiple types of fields including Linked Fields
View Details of current
Active Collaborators
to see who all are currently working on your Airtable base
System Alerts
using Javascript Notification API to alert user whenever a "new" record is updated. If same was updated, there will not be any alerts
In case Notification API do not have required permission, fallback to Toast based Alerts to the users
How I built it
We are using
React Hooks for Airtable
to listen onto configured tables and views. And thereby, compare what changed and provide the alerts. Open source React Components like Timeline is used to create the Activity Feed.
Challenges I ran into
Airtable Record Model do not provide the details of which user last updated the record. Initially, we thought of creating a user based feed wherein we can see which user is doing what changes, the frequency & count of changes, etc
However, if another user is making changes, that would get counted as a change done by both since both blocks will receive the update and the code will not know which user did it!
And so, we went ahead by focusing on the core concept, Activity Feed. It is important to know what data got changed. And to understand who might have done it, we have provided the current Active Collaborator List in the block.
Accomplishments that I'm proud of
Learning to create React components and make them interact with Airtable
What's next for Activity Feed and Alerts
Many More Features can further be added , like granular alerts. For e.g., alert on fields → when a particular field value changes to 'XXX', alert me!
Built With
airtable
javascript
react | Activity Feed and Alerts | Get Notified of Data Updates in Real Time..! | ['Khyati Majmudar', 'Ninad M'] | [] | ['airtable', 'javascript', 'react'] | 50 |
9,970 | https://devpost.com/software/dsastr | Disastr
Inspiration
What it does
Disaster Management
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Dsastr
Built With
blockchain | Disaster Relief Disbursement through Blockchain | Disaster Relief Disbursement through Blockchain | ['Tri Labs'] | [] | ['blockchain'] | 51 |
9,970 | https://devpost.com/software/marked-preview | GIF
Preview swapping based on active cell
Markdown preview of Long Description
HTML preview of Long Description
Markdown preview of Rich Text
Inspiration
We're big fans of Jamstack and love the versatility of Airtable. This idea came from us wanting to expand Airtable's ease of use as a Content Management System (CMS). We typically produce content in Markdown, so it's highly convenient to pull Markdown out of Airtable and into its next home (like a blog post).
What it does
This previewer shows a formatted output of HTML or Markdown. This makes it easier to preview a cell and make sure the contents are properly marked up (or down), plus it's a bit easier to read a long piece of text.
How we built it
The block is an expansion of the URL previewer making use of Remark and Remark-HTML to output formatted text.
Challenges we ran into
One little nitpick we have comes from the Rich Text column type and its checkboxes. Due to how the column type outputs data, we haven't managed to make it preserve the first line break between a string of text and the first checkbox item.
Accomplishments that we're proud of
We can proofread Markdown!!
What we learned
How to use React. This is our first time building something in React instead of just adjusting it from existing work. We're looking forward to making additional Blocks for our workflow and pass on any good ones to the community!
What's next for Marked Preview
We'd love to expand this to support more column types, lookup fields, and perhaps let a user import minimal custom CSS.
Built With
airtable
react
remark
typescript
Try it out
github.com | Marked Preview | HTML and Markdown Previewer | ['Melanie E Magdalena', 'Leo Lutz'] | [] | ['airtable', 'react', 'remark', 'typescript'] | 52 |
9,970 | https://devpost.com/software/sprite-chat | GIF
Sprite Chat Experience
GIF
Character Selection Gif
Character Entrance Animation
Character Selection Screen
Chat Room
Player Instructions
Active Members List
Expanded Records View
Table View with Sprite Chat
Inspiration
The inspiration for this block came from 2D games such as MapleStory and Don’t Starve Together. These games featured a 2D sprite-based world where players can interact with each other to complete missions and build towns. We thought it would be a cool idea to create a 2D world where users can interact with blocks of data by taking advantage of the Blocks SDK. Especially given the current global situation where people are working from home, we thought it would provide an interesting alternative to team collaboration that can will increase individual user involvement.
What it does
Our block is a sprite chat room that features a character selection landing screen and a large ball room for users to interact with each other. The inception of this idea took hold while we were glancing at the suggested list of use cases. We wanted a block that was going to be useful to users from multiple industries, fun and builds a collaborative environment.
How we built it
Since pixel art is popular in making sprite figures, we decided to go with it as our art style. We created the visual assets in Pisces, Tiled and Figma. To animate the walking gestures, we made 12 frames for each avatars (three for each direction).
We built the 2D sprite chat world using D3. We used svgs to handle the positioning of all the assets and used D3's zoom library functions to take care of the user navigation around the map.
Challenges we ran into
The main challenge was mitigating latency and synchronizing the movement between multiple users. We took advantage of Airtable’s real-time updates by utilizing the global config as a store for all the user sprite data. Once too many users become collaborators and enter the chat room, the user experience starts to degrade as the real-time updates cannot keep up with the volume of updates generated by each user. To work around this, we decreased the number of updates made by each user. In our first iteration, we had kept track of where each character was by storing their x and y coordinates within the global config and updated their position every time it changed. However, we realized that we can maintain only the character animation states of each sprite and keep track of the x and y coordinates of each user locally. Based on the user sprite’s animation state, the computation of where each sprite should go can be done locally and not be constantly synched with the global config. With this strategy, we are able to host a large number of users in the same chatroom with a “lag-less” user experience.
Another challenge was the scaling of images for our sprites and background images. When zooming in close to each Sprite, the image started to become blurry. However, we were able to resolve this by a pixelating the image rendering via CSS.
Accomplishments that we're proud of
We are proud of the seamless and integrated user experience that our Sprite Chat provides. We believe it is very intuitive and easy to use for new users to try out and have fun with.
We are proud of
What we learned
Airtable Blocks are extremely flexible and easy to create additional functionality for. I can see that creating integrations with different services become trivial as you can link up your APIs and services directly to your blocks and have it accessible to your collaborators.
What's next for Sprite Chat
The next step for Sprite Chat is to create “Data Blocks” that User Sprites can interact with. These “Data Blocks” can represent tables, records, or fields. When the User Sprites pick up and move around the “Data Blocks”, it will represent changes to the underlying tables, records, or fields. With this functionality in place, we can create integrations with popular productivity tools such a Kanban tables where users can move/modify records by carrying and placing “Data Blocks” into different locations representing the different columns within the Kanban Table. Games such as Scrum Poker can be made interactive as well by allowing users to “pick up” different points and having it all become revealed at the end of the round.
Built With
cloudinary
d3.js
javascript
react
Try it out
github.com
airtable.com | Sprite Chat | Bring your chat room to life with Sprite Chat - a 2D interactive world where you and your collaborators can engage in lively discussions via Sprites. | ['Jun Yoo', 'Heng Tang', 'Brian Fang'] | [] | ['cloudinary', 'd3.js', 'javascript', 'react'] | 53 |
9,970 | https://devpost.com/software/contract | Inspiration
As researchers, many times, we have to purchase articles or pay for article processing charges (APC) using non-local currencies.
What it does
JournalPay simplifies the checkout process for APC payment in our journal.
How I built it
We have integrated Payment API to simplify APC payment.
Challenges I ran into
Integration of Open Journal System (OJS) with Invoices API.
Accomplishments that I'm proud of
Integrating simple checkout to the OJS.
Built With
amazon-web-services | JournalPay | OJS Payment System | ['Tri Labs'] | [] | ['amazon-web-services'] | 54 |
9,970 | https://devpost.com/software/startup-digest | GIF
Startup Digest in a Nutshell
Getting Started
API Key submission
Top relevant stories
Overall press sentiment
Top related Companies and People
Inspiration
A VC with large portfolios and multiple deals in the pipeline has a hard time keeping up with news related to their companies. This includes funding announcements, disclosures, key additions/departures, press releases, relevant achievements, and public perception of the portfolio company.
Compounding the problem, there are hundreds of news websites, newsletters and blogs covering startups around the world. Articles shared by the startups themselves only mention their success stories but don’t detail any negative sentiments/tone.
We have a solution that helps these VCs keep track of all relevant news in one place - Airtable.
What it does
We’ve developed a custom block for VCs who are already using Airtable to manage their portfolio investments. The block curates recent news and stories about their startups of interest, analyses the sentiment of these stories, and presents it to the user. It also provides the user with an option to save the stories for later reading and reference.
|
How we built it
We built the block using Airtable UI and Material-UI components within the block’s React JS application. Additionally, we used components from Recharts for visualizations. The backend of the block leverages IBM Watson Discovery which is an AI-powered service, to fetch relevant news articles.
Challenges We ran into
Identifying the right AI services that would be best suited for this application was a big challenge. Most AI news services are built around keywords and don’t have the sophistication or the ontologies to identify the firm name and/or people's name along with the relevant keywords. After trying multiple services, including trying to build something on our own, we identified Watson AI Discovery consistently delivered the best results for all recent startups.
We were also cognizant of the fact that we didn’t want to add more workflow to the VC’s while providing meaningful insights
We had to work through some hurdles in the authentication handshake with IBM’s services due to CORS restrictions.
Accomplishments that we are proud of
100s of VCs have been using Airtable to actively manage their deal flow and their portfolios. We are proud that our block, Startup Digest, is able to seamlessly integrate into their current workflow without any changes needed to their current base while providing them valuable and relevant insights around their startups of interest.
Given that most hackathon submissions are usually proofs-of-concept, we are happy with the progress we made in building a complete, end-to-end application.
Although we have all used Airtable in different capacities before, we had never actually used Blocks in Airtable. This is the first time we had used and developed a block on Airtable and were impressed by how easy they were to build, and how powerful they can be. We are very proud and feel accomplished completing our first Block, and will surely be building more custom Blocks in the future :)
What I learned
When designed well, Blocks can be a powerful and effective tool to derive quick insights
We learned a lot about how to build good and effective blocks that can be easily consumed by users. We worked hard to ensure we didn’t complicate the process or specialize these blocks too much that they only catered to a very narrow use-case.
Nobody on the team had previous experience using the React framework, so we used this as an opportunity to learn it.
What's next for Startup Digest
We think Startup Digest will evolve to increase VC’s productivity by speeding up preliminary internet-based diligence of startups in their portfolio and deal-flow. We intend to become a vital part of the overall diligence process by providing detailed web and social media insights on people and investors that make a startup.
Slides
Built With
airtable
ibm-watson
material-ui
node.js
react
Try it out
github.com
www.beautiful.ai | Startup Digest | Startup Digest is an Airtable block used by VCs to stay up-to-date about their pipeline and portfolio investments by delivering AI-powered news and smart insights right into their existing workflow. | ['Siddharth Subramanian', 'Vikram Parthasarathy', 'Gopinath Sundaramurthy', 'Revanth Anireddy', 'Nithya Renganathan'] | [] | ['airtable', 'ibm-watson', 'material-ui', 'node.js', 'react'] | 55 |
9,970 | https://devpost.com/software/news-7xmdr2 | Inspiration
What it does
Content management for news.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for News
Built With
bitbucket
confluence
forge
Try it out
bitbucket.org | News | News Management | ['Tri Labs'] | [] | ['bitbucket', 'confluence', 'forge'] | 56 |
9,970 | https://devpost.com/software/google-calendar-block | Google Calendar Block
Inspiration
As things have moved online these past few months, I've realized how important it is to have everything on my calendar, otherwise, I forget it. When I started this project, I was thinking, what do I think Airtable is good at?
Airtable is a great place to store and keep track of information
Then, I thought, where else do people store and keep track of information?
💡
Google Calendar
💡
What it does
There are two main functions of the block
View calendar events - the default shows you the calendar events you have for today, but if you select a date inside of airtable, you will see the calendar events for that date
Create calendar events - the default is that you will create a calendar event for today, but if you select a date, it will create an event for that date/time you have selected
How I built it
If I'm being honest, I have no clue how I built it. If a JavaScript developer goes and looks at my code they would probably amazed that it's even running.
Challenges I ran into
The OAuth Issue - I have a real not-so-great way of achieving OAuth in this, and I really wish there was better support for it
Hooks - who knew something that sounds so simple could be such a pain in the ass?
React State - still struggling to understand all of the little nuances of state. How to update state? How to share state? How to re-render off of state?
Accomplishments that I'm proud of
This is the first thing I've ever really built in React. I learned a lot, and I understand React a lot better now. My code is still pretty shit, but I'm glad I could probably understand someone else's React app now.
What I learned
I learned a lot:
React Hooks
Using state in React
Locked down JavaScript syntax
Async - this is when I figured out that React feels a lot harder than backend coding
As primarily a backend dev, I figured out there's a lot more to an app than just manipulating and sending JSON requests around haha
What's next for Google Calendar Block
I'm a perfectionist and good at brainstorming, so here are some of the things I'm wanting to change:
This block isn't built perfectly, there are some bugs, and I want to get rid of those first
Clean up the code to make it easier to read and understand
Allow users to edit events
Add view to show the events for a week, not just one day
Include being able to invite people to an event
When the cursor is on an email address, it shows events you have with that person
Built With
airtable
google-calendar
javascript
react | Google Calendar Block | See what calendar events you have for a day inside of Airtable and you can also create new events. | ['Alec Jones'] | [] | ['airtable', 'google-calendar', 'javascript', 'react'] | 57 |
9,970 | https://devpost.com/software/poster-creater-block | Poster Generator with selected airtable record and custom text
Wedding Business Poster
GIF
Airtable brand logo and canvas update on selected record change
GIF
Full-screen block
Poster Generator (Airtable Custom Block)
Create social media banners and graphic images for any platform in minutes without leaving airtable with Poster Generator. Best suited for
rapid design prototyping
and bringing brand campaigns ideas to life.
Inspiration and perspective behind building the Poster Generator block
Advertising, both print and digital account for 54.39 billion dollars of market when clubbed together
(Goldstein Report)
. According to this
report
from the manifest, nearly all small businesses (91%) plan to increase their advertising spending, indicating that small businesses prioritize advertising and see it as a beneficial marketing strategy.
I lead a
developer community
and although I am not a marketeer, but post discussions with friends in the space I found out that when it came to building assets(posters to be more specific) marketing managers and event/community managers have exactly the same needs:
A
RAPID
poster building/prototyping tool that is really easy to edit.
Shouldn't require design experience.
Poster should showcase my/client's brand well without much editing effort.
Something strictly within Airtable to avoid platform switches and all the friction that comes along.
Customizable/draggable text.
Downloadable outside airtable as well.
I realized this is a great market fit and it uncovered a need for a small to medium business (for quick execution and generating posters for campaigning) and also for a large organization with a dedicated design team (for rapid prototyping inside airtable) and started on towards my journey of building the
poster generator custom block
over an airtable base in my workspace.
Please note that blocks are still in beta and are accessibe in Pro and Enterprise workspaces for now.
To support planning and managing of these advertising campaigns, airtable already has a base template which can be accessed
here
which I think is the best suited place to install and experience the block.
Pre-requisites:
The poster generator custom block has just the following pre-requisites:
Features:
Onboarding of new users
Image and brand logo insertion
Canvas updation on record selection
Customization Options:
Font Color
Font Size
Font
Text Insertion and Repositioning (Drag and Drop)
Download Option
Save to Airtable
Polished to an extent:
The block watches for schema changes with useBase hook.
Queries where possible are hadled with 'ifExists' e.g. 'getTableIfExist' and fallback conditions are handled accordingly
Fallback triggered if the record doesn't have a "Base Image" or a "Logo" field to allow selecting any record once table has the necessary fields.
Limited record data is loaded by using query params:
const selectedRecord = useRecordById(
table,
selectedRecordId ? selectedRecordId : "",
{
fields: ["Base Image", "Logo", "Event Name", "Poster"],
}
Base Image is auto scaled to fit canvas size
Rectangle logo and a square logo are auto scaled down to give a branding presence on the top right corner
Mouse out and Mouse up events remove selected text during drag and drop text operations.
Image cross origin is set to Anonymous to prevent the canvas from getting tainted, so we can be assured the image saved will be exactly the same as on canvas
What's next for Poster Generator:
Save to Airtable feature:
Saving poster to Airtable is an experimental feature that uses an AWS S3 bucket for saving all the posters first to cloud (because airtable accepts URL as an attachment so a host environment was necessary). Saving user data without permission is a risk that I wanted to avoid hence, this feature is disabled by default and all the code that accomplishes this is commented.
Here's how this feature will be accomplished in future:
onBoarding user with their API creds
Save to Airtable enabled for only user with creater permission
When a table is changed without the pre-requisite fields. The blocks runs into a rendered fewer react hooks error.
https://community.airtable.com/t/error-rendered-more-fewer-hooks-workarounds-combine-queries/31154
. This is yet to be fixed.
Images that don't load for the first time need an addition canvas re-render. Sometimes this results in a blank canvas with just the text till a render is forced. This needs further investigation as of now.
Challenges and Accomplishments:
To start with,
I am really proud of the substantial amount of progress
I am able to make on this side project along with my regular day job. The experience has been pretty rewarding. When I started (about a month ago). I had heard a bit about react, I had tried Airtable for note taking before but wasn't really friendly with the platform, AWS and canvas were newer experiences as well. The community support around this product is really good. I have nothing but positive interactions here. It has been super fun ride with some nights spent thinking solutions and other with accomplishments before the slumber.
Contributions
Please feel free to contribute to the quality of code by submitting PRs for improvements to code and documentation etc.
Any contributions you make to this effort
are of course greatly appreciated
.
License & Copyright
This work is licensed under a
MIT License
.
Built With
airtable
amazon-web-services
canvas
hooks
javascript
react
Try it out
github.com | Poster Generator Block | Create social media banners and graphic images for any platform in minutes without leaving airtable with Poster Generator. Best for rapid design prototyping and bringing brand campaigns ideas to life. | ['Harshit Juneja'] | [] | ['airtable', 'amazon-web-services', 'canvas', 'hooks', 'javascript', 'react'] | 58 |
9,970 | https://devpost.com/software/air-meal | Inspiration
Building or creating a Meal Planning Management System to help Volunteer Organisation provide Meals to the Needy
What it does
Air Meal is an Online Volunteers Meal Collaborative Planning System Powered by Airtable. It allows Voluntary Organisations to Donate and Publish Meals, Collaborate with their Volunteers who will help in the Meal Distributions to the Needy.
To facilitates transparency, it allows Volunteer Organisations and their respective volunteer members express their feelings, reports through comments, likes and reactions. Also the Application automatically perform calculation based on the no of meals available meals vs the poor needy who needs them in order to show over or under utilization of meals.
The app component functions comprises of :
1.)
Updating Volunteer Organisation Data:
This allows the admin to add all the organisation data like
Organisation names, Locations, Mobile Contacts
etc.
Once the Admin submit the data, all her personal data like
name,userid,profile photos,email etc.
will be pull from Airtable user session.and Collaborator SDK to create the account. The Admin is the one who controls all the activity within the app.
The Admin should be the first person to Access the app before inviting anyone to collaborate
2.)
Become a Meal Collaborative Volunteer:
It allow the Invitee or Collaborators to enter just her contact Mobile no and all her personal data like
name,userid,profile photos,email etc.
will be pull from Airtable user session.and Collaborator SDK to create the account. Once Registered, Invitee can click on
Go Online
to activate her online presence and can then start collaborating.
3.)
Manage Collaborators:
This allow the admin to
Activate, Deactive, Ban, Unban and delete
invitees account from the app
4.)
Add, Search, Manage Needy, Send SMS and Email:
This options allows all Volunteer Organisations and their respective Collaborative Volunteers to update data of all the Needy who might need the meal for the purpose of contacting and alerting whenever there is meal for distributions Eg via
Email and SMS.
The Needy updated data includes:
a.)
Fullname
b.)
Email Address
c.)
Mobile Contacts
d.)
No. of Needy in the Family
e.)
Location Address
All this Need aforementioned data are captured by Volunteers Organisation and saved in Airtable Highly Secured Database.
These updated data enable Volunteer Organisation to send respective
SMS
and
Email
to
all the registered Needy whenever Meal is ready ..
5.)
Publish Meal, Request Meal, Comments, Likes and Shares:
This option allows Volunteers Organisation to publish Meal updates.
The application automatically calculates the
total published Meals against the total number of the needy
to show over or under utilization of meals.
The Volunteer organisation can use comment sections to discuss further on how to further implement meal managements for that post. Anyone or collaborative invitee can use the comment section to contribute ideas on effective Meal Distributions
How I built it
Yeah. I started by calling users data within Airtable Users session and Collaborator SDK to get get their
session userid, names, email, profile pictures etc.
which was used to dynamically update their account within the app. I started importing and calling all Airtable functional SDK like
input, buttons, modal Dialog, Confirmation Dialog, Select API, Icons,
Airtable SDK CreateRecords, Update, Delete function etc. All data are coded to send, update and retrieve data to and from Airtable venerable Realtime Database
Challenges I ran into
Working with Local SMS Gateway. In future I will be using Twilio.
About our SMS Gateway.
We are using Sms gateways that are affordable for us. In future we will be using Twilio for
Wide Coverage
when using the application always ensure that your mobile contact begins with + sign followed by country code Eg.
+145789000000
Below are List of Countries our application can send sms to and fro
Gambia
Ghana
India
Nigeria
United States
Canada
Cote d’Ivoire
Spain
Belgium
Germany
France
Sri Lanka
South Africa
Netherlands
Algeria
Australia
United Arab Emirate
United Kingdom
Kenya
Turkey
Portugal
Pakistan
Vietnam
China
Tanzania
Austria
Accomplishments that I'm proud of
. Am glad the app is working fine
What I learned
While am new with reactjs. Airtable forces me to move from old Reactjs class coding approach to
functional react hook coding approach. In the first place it was a hurdle for someone like me who is coming from jquery ,vuejs and angularjs world. Working with reactjs functional approach now seems to me to be best coding among all.
What's next for Air Meal
Adding more features, like More interfaces for editing and updating Published Meals, Search Engine Integrations, New Form Integrations to allow the needy to supply their contact data.
more features coming.. Introducing also Bulk Email and SMS messaging system for sending Meals Updates alerts to the Needy in bulk rather than individually
Built With
airtable | Air Meal | An Online Volunteers Meal Planning and Management Systems Powered by Airtable, Email and SMS.. | [] | [] | ['airtable'] | 59 |
9,970 | https://devpost.com/software/engine-room | GIF
Inspiration
After using the URL Preview Block I thought it will nice if there was something similar for 3D assets
What it does
Previews 3D files within Airtable. This files can be attachments or external links e.g S3, Google Cloud Storage
How I built it
Used Babylon.js to render the assets
Challenges I ran into
Event Handling e.g detecting when the block was in full screen mode was easy. However detecting when the sidebar holding all blocks was in fullscreen mode was difficult
Neatly releasing, reacquiring resources (cameras, lighting, etc) without messing up the 3D environment as the user switches from one 3D asset to the next was very challenging
Accomplishments that I'm proud of
Building this in 2 days
What I learned
Learned how amazing Airtable is.
What's next for Engine Room
Releasing it to everyone :-)
Built With
babylon.js
Try it out
airtable.com | Engine Room | Preview 3D files in Airtable. The files can be external links or Airtable attachments. Supports GLB, GLTF and OBJ | ['Teche Tah'] | [] | ['babylon.js'] | 60 |
9,970 | https://devpost.com/software/harvest-for-airtable | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Harvest for Airtable
Built With
javascript | Harvest for Airtable | Integrating harvest with Airtable we can now track time on the base or enter all your hours into a timesheet in one go. . | ['pragadeesh pragadeesh'] | [] | ['javascript'] | 61 |
9,970 | https://devpost.com/software/ndaify-for-airtable | 01 Greeting
02 Set up
03 Dashboard View
04 Record Selection View
Inspiration
I built NDAify to make it easy for people to send, receive and manage standardized nondisclosure agreements.
What it does
In just a few clicks, you can drop a secret link into NDAify and secure it behind an NDA-wall. The person you’re sharing this secret link with will have to then sign the nondisclosure agreement before they can see your secret link.
With the new Airtable Block extension for NDAify, you can now invite team members to your Airtable bases to manage nondisclosure agreements. Your base collaborators will be able to search for and view your company NDAs. This will forever eliminate the worry that you or your team may be working under non-disclosure making Airtable the one place you and your team can go to find all your NDAs. One place to answer questions such as: "Do we have an NDA with this contact?" "Is our NDA expired for a contact?", or simply to send or renew a non-disclosure agreement.
Built With
airtable
amazon-web-services
aws-dynamodb
docker
github
node.js
oauth
react
stripe
Try it out
github.com | NDAify for Airtable | Send, receive, manage non-disclosure agreements | ['Julia Murzy'] | [] | ['airtable', 'amazon-web-services', 'aws-dynamodb', 'docker', 'github', 'node.js', 'oauth', 'react', 'stripe'] | 62 |
9,970 | https://devpost.com/software/airtalk-mwaqcv | Inspiration
In our company we record meetings and add them to Airtables. We got tired of recording on one platform then having to export and re-upload or attach a link. We create a block so you can add a recording directly on Airtable and we extended it for even more usage!
What it does
Airtalk allows you to record audio directly into your tables and play them back. So users can leave notes, feedback or even record entire meetings
How I built it
We built it using React - by tapping into the audio capabilities of most modern browsers
Challenges I ran into
Getting audio to upload to attachments in Airtables was an issue we had to work around.
Accomplishments that I'm proud of
We got a working version of the application.
What I learned
I learnt a lot about browser capabilities and how those can be used in React
What's next for AirTalk!
Adding more features like the ability to automatically tag people to a recording.
Using machine learning to auto transcribe recordings - and make that an option users can select
Built With
amplify
react
Try it out
bitbucket.org | AirTalk! | Record audio directly into your Airtables | [] | [] | ['amplify', 'react'] | 63 |
9,970 | https://devpost.com/software/air-vote | Inspiration
Voting and Rating of particular item will help all business, Teams, etc to know which posts, products or item that their collaborators likes most or are most interested on. Again providing a commenting system for each Post or published item will all also help business owners, Team collaborators to gather comments and responses to and from their clients and customers or invitees.
Airvote
was born to ensure all this.
What it does
Air Vote is an Online Rating and Voting System that allow Team Members to Post an Item, comment, rate and vote on that content.
It comprises of the following components and functions:
1.)
Admin signup:
It allow the Admin to enter just her nickname. The nickname can be anything and all her personal data like
name,userid,profile photos,email etc.
will be pull from Airtable user session.and Collaborator SDK to create the account. The Admin is the one who controls all the activity within the app.
The Admin should be the first person to Access the app before inviting anyone to collaborate
2.)
Vote System Time Settings:
Here you(Admin) can set the Time Duration for Voting. You can also enable and Disable Vote Timer.By Default, Timing are Disabled. You can enable it if you want
Anytime you disable Voting/Rating time please try to manually reload the page for the time counter updates to disappear as i forgot to grammatically reload the page on this
Timing in Enabled Mode:
If Timing is set to enabled, The timing will appear on the voting item and once time expired, no Team Member will be able to rate or vote on any post until the Admin update the time again.
Timing in Disabled Mode:
If Timing is set to disabled, The timing will disappear on the voting item and any Team Member can vote or rate any post any time he wants.
Don't worry, You(Admin) can always change the Vote Time and Modes anytime by selecting the mode options and clicking the Update button
3.)
Manage Voting and Rating System Display on any published post or items:
Here you can set how you want to display Voting or Rating system on each post that you Published.
By Default, Both Voting and Rating System are displayed for each published Post Content.
Here, you can decide to show just only voting system or only Rating System for the published Content.
Enter Word "
show
or
hide
" to display or hide Voting System or Rating System on each published Content respectively.
4.)
Publish Contents, Comments, Vote, Rate and View System:
This allows Team collaborators to publish Voting or Rating items, Products etc.
Other collaborators can now Comments, Votes and rate on the item. If Admin enable Vote/Rating timing, all collaborators can only vote within the specified time. If time elapsed or expired, no one can vote or rate any products or item again until the admin either disable timing or update the time setting again.
Disabling voting/rating timing simply means that all collaborator can coming vote or rate on product anytime they want
Total Voting, Total Star Rating, Percentage Voting is calculated and Average Star Rating for each Products or Posts were also calculated and all saved in Airtable Database.
5.)
Register As Collaborators:
It allow the Invitee or Collaborators to enter just her nickname. the nickname can be anything and all her personal data like
name,userid,profile photos,email etc.
will be pull from Airtable user session.and Collaborator SDK to create the account. Once Registered, Invitee can click on
Go Online
to activate her online presence and can then start collaborating.
6.)
Manage Collaborators:
This allow the admin to
Activate, Deactive, Ban, Unban and delete
invitees account from the app
7.)
Go Online:
This allow all the collaborators to activate her online presence. It is compulsory that you activate your online presence before you can start doing anything in the app otherwise the app will not permit you
This will enable all your team members tosee that you are online
8.)
Go Offline:
This allow all the collaborators to go offline.
This will enable all your team members to see that you are offline
How I built it
Yeah. I started by calling users data within Airtable Users session and Collaborator SDK to get get their
session userid, names, email, profile pictures etc.
which was used to dynamically update their account within the app. I started importing and calling all Airtable functional SDK like
input, buttons, modal Dialog, Confirmation Dialog, Select API, Icons,
Airtable SDK CreateRecords, Update, Delete function etc. All data are coded to send, update and retrieve data to and from Airtable venerable Realtime Database
Challenges I ran into
Calculating the Voting Percentage and Average Star Rating for each Published item or Post takes me some time as some logics are needed to enhance effective calculation on that Grammatically
Accomplishments that I'm proud of
It wasn't easy. dealing with calculation used in building this App. Am glad is working fine
What I learned
While am new with reactjs. Airtable forces me to move from old Reactjs class coding approach to
functional react hook coding approach. In the first place it was a hurdle for someone like me who is coming from jquery ,vuejs and angularjs world. Working with reactjs functional approach now seems to me to be best coding among all.
What's next for Air Vote
Adding more features, like More interfaces for editing and updating post features, Search Engine for published products and more.. | Air Vote | Air Vote is a multi-role Online Rating and Voting System that allow Team Members to Post an Item, comment, rate and vote on that content. | [] | [] | [] | 64 |
9,970 | https://devpost.com/software/random-picker-airtable-block | Seating Chart Block
The Seating Chart Block is used to create and view automatically generated best-fit seating charts. The charts are automatically generated using given information about how guests are related to each other (stored in a linked record field). After a chart is generated, it may be saved to another table, so you can load that chart to look at it again, edit the chart, or use that data in another visualization block.
Anticipated User Value
The anticipated user value of this block is to save time in the initial creation of seating charts. A best-fit chart will be created by placing people who know each other at the same table. Seating chart planners can then look over the chart and make adjustments as needed.
Built With
airtable
javascript | Seating Chart Block | Automatically create a best-fit seating chart and save time while event planning | [] | [] | ['airtable', 'javascript'] | 65 |
9,970 | https://devpost.com/software/air-social | Inspiration
Hello, I have been wanted to create an online learning system to help Volunteer Organisations, Team Members, Businesses, Medical Practitioners etc to help educate their Volunteers, Patients, clients etc. as a result,
Air Social
was born.
What it does
Air Social is an Online Volunteer Learning System that allow Team Members, Online volunteer organisations to educate one another through Posts, Photos, Videos, blogging Updates. It also allow them to like, comments, and share Updates in real-time heavily powered by Airtable venerable Database and Airtable SDK.
The app has major functions for promoting online learning and eductions on Airtable:
1.)
Post and Sharing of Blogs updates:
This components allowed team collaborators to Publish Post, Blogging, Articles which are warehoused in Airtable database. Any Team member can Post updates.
For instance, one can create a post to educate her invitees on how
to create table, view tables etc on Airtable.
Every member can express their learning through
Likes, Comments
on that particular post updates
2.)
Photo and Sharing of Blogs updates:
This components allowed team collaborators to Publish Post, Blogging, Articles etc along with
Photo publishing option
.
For instance, One can create a post and attach a photo showing a diagrammatic-al illustrations on how to navigate to some certain areas within the Airtable etc.
Every member can express their learning through
Likes, Comments
on that particular Posts and Video updates and photo sharing
3.)
Video and Sharing updates:
This components allowed team collaborators to Publish Post, Blogging, Articles etc along with
Video Updates
by publishing the Video URL
This video url must be either from
Vimeo or youtube
For instance, a Volunteer Organisation create a post and share a Video to educate on coming volunteers
on neccessary thing needed to be done in the organisation to all new comers from within the Airtable Database App etc.
Every member can express their learning through
Likes, Comments
on that particular Posts and Video updates and photo sharing
4.)
Admin signup:
It allow the Admin to enter just her nickname. the nickname can be anything and all her personal data like
name,userid,profile photos,email etc.
will be pull from Airtable user session.and Collaborator SDK to create the account. The Admin is the one who controlls all the activity within the app.
The Admin should be the first person to Access the app before inviting anyone to collaborate
5.)
App Mode Runnability:
You can configure the Air Social App to run in
Only Airtable Mode
or to use
both Airtable Mode and Socket.Io.
The default setting is:
Airtable-Mode-Only
which uses only AirTable Realtime Technology
Socket.IO provides additional realtime notification Push, sound notifications etc whenever someone posted Video, Posts, photos or add comments etc.
With Airtable Mode and Socket.Io. Enabled,
the application will leverage both
Airtable Realtime Technology Mode and nodejs server
hosted somewhere eg at
glitch.com
to provide above additional above mentioned realtime data via Socket.Io
Dont worry, You can always change the app mode anytime by selecting the mode options and clicking the Update button.
6.)
Register As Collaborators:
It allow the Invittee or Collaborators to enter just her nickname. the nickname can be anything and all her personal data like
name,userid,profile photos,email etc.
will be pull from Airtable user session.and Collaborator SDK to create the account. Once Registered, Invitee can click on
Go Online
to activate her online presence and can then start collaborating.
7.)
Manage Collaborators:
This allow the admin to
Activate, Deactive, Ban, Unban and delete
invitees account from the app
8.)
Go Online:
This allow all the collaborators to activate her online presence. It is compulsory that you activate your online presence before you can start doing anything in the app otherwise the app will not permit you
This will enable all your team members to
see that you are online
9.)
Go Offline:
This allow all the collaborators to go offline.
This will enable all your team members to see that you are offline
How I built it
Okay. I started by calling users data within Airtable Users session and Collaborator SDK to get get their
session userid, names, email, profile pictures etc.
which was used to dynamically update their account within the app. I started importing and calling all Airtable functional SDK like
input, buttons, modal Dialog, Confirmation Dialog, Select API, Icons,
Airtable SDK CreateRecords, Update, Delete function etc. All data are coded to send, update and retrieve data to and from Airtable venerable Realtime Database
The app operates in two 2 modes. The first mode was using
Airtable Realtiime Technology only
which is the default settings. The second Mode uses
Both Airtable Realtiime Technology and Socket.io
.. Why I also added the second optional mode is that if the collaborators wants to know
when others Published Posts, Videos, Photos, comments and when new Updates arrived in a flash display, getting sound notification on new Post status updates arrival etc.
This causes me additional coding efforts at its nodejs and socket.Io server side is hosted on
glitch.com
.
The app admin can always switch between the two app modes. You can setup the mode that is best for you
Challenges I ran into
Implementing real-time Posts updates, Photos ,videos, comments, like system etc withing just a single page by leveraging all available Airtable sdk tools is not easy.
Accomplishments that I'm proud of
What I submitted is just a start. Am working already in building a fully functional super advance
realtime Social Network on on Airtable. Just relax and watch...
What I learned
While am new with reactjs. Airtable forces me to move from old Reactjs class coding approach to
functional react hook coding approach. In the first place it was a hurdle for someone like me who is coming from jquery ,vuejs and angularjs world. Working with reactjs functional approach now seems to me to be best coding among all.
What's next for Air Social
This applications was written in a haste coupled with power outages that we normally have. You know what, my main
Air Social system
is already on the way and will be ready very soon. I mean very soon.
I will launch a super featured, super multi-role functional Social Network on airtable that will be powered by Airtable SDK.
I have been working on integrating
facebook like chat within the Airsocial that will be also powered by Airtable Realtime Database.
Building Control system to allow Admin's to monitor and audit any Posts,photos, Videos, comments. What I can do. oh what I can do on Airtable. just wait and see..
Built With
airtable | Air Social | Air Social is an Online Volunteer Learning System that allow Team Members to educate one another through Posts, Photos, Videos, share like, comments, and share Updates in realtime. | [] | [] | ['airtable'] | 66 |
9,970 | https://devpost.com/software/air-chat | Inspiration
I wanted to build a super advanced Team Chat Collaborative Application on Airtable.
okay solving Issues for your clients, Team Collaborations to share informations, files etc.
in real-time will help all business and all work of life to move faster. To enhance this,
Airchat
was born
What it does
,
Airchat
is slack like Group Chat and one to one(Private) Chat System that allow teams to Share Text Messages, Photos, Files etc. all in Realtime all powered by Airtable Realtime SDK.
It comprises of the following components:
1.)
GroupChat System:
allow all Teams members,Invitees,businesses to create unlimited Group Chat Rooms or various departmental chatrooms where they can collaborate as teams, share informations and solve issues faster in realtime.
In various Group Chats Rooms, the teams can share, download and send
text messages, photos, files in realtime.
2.)
One to one Chat:
It allow Teams members, invitees, to collaborate with and share, download and send Text messages, Photos, files etc one to one
(privately)
.
3.)
Admin signup:
It allow the Admin to enter just her nickname. the nickname can be anything and all her personal data like
name,userid,profile photos,email etc.
will be pull from Airtable user session.and Collaborator SDK to create the account. The Admin is the one who controlls all the activity within the app.
The Admin should be the first person to Access the app before inviting anyone to collaborate
4.)
App Mode Runnability:
You can configure the Chat App to Use
Only Airtable Mode
or to use
both Airtable Mode and Socket.Io.
The default setting is:
Airtable-Mode-Only
which uses only AirTable Realtime Technology
Socket.IO provides additional realtime notification Push, Typing Notifications, sound notifications
etc. to all collaborators connected during Chating)
With Airtable Mode and Socket.Io. Enabled,
the application will leverage both
Airtable Realtime Technology Mode and nodejs server
hosted somewhere eg at
glitch.com
to provide above additional above mentioned realtime data via Socket.Io
Dont worry, You can always change the app mode anytime by selecting the mode options and clicking the Update button
5.)
Create Chat Group:
Allows only the Admin to create unlimited Chat Groups. if invitee tries to create one, it will throw back warning alert.
6.)
Register As Collaborators:
It allow the Invittee or Collaborators to enter just her nickname. the nickname can be anything and all her personal data like
name,userid,profile photos,email etc.
will be pull from Airtable user session.and Collaborator SDK to create the account. Once Registered, Invitee can click on
Go Online
to activate her online presence and can then start collaborating.
7.)
Manage Collaborators:
This allow the admin to
Activate, Deactive, Ban, Unban and delete
invitees account from the app
8.)
Go Online:
This allow all the collaborators to activate her online presence. It is compulsory that you activate your online presence before you can start doing anything in the app otherwise the app will not permit you
This will enable all your team members to
see that you are online
8.)
Go Offline:
This allow all the collaborators to go offline.
This will enable all your team members to see that you are offline
Once you are offline, any new private messages sent to you from one to one chat(Private Chat) will trigger
unread message count.
This will enable you to see messages count sent to you when you are offline.
How I built it
Hmm not easy. I started by calling users data within Airtable Users session and Collaborator SDK to get get their
session userid, names, email, profile pictures etc.
which was used to dynamically update their account within the app. I started importing and calling all Airtable functional SDK like
input, buttons, modal Dialog, Confirmation Dialog, Select API, Icons,
Airtable SDK CreateRecords, Update, Delete function etc. All data are coded to send, update and retrieve data to and from Airtable venerable Realtime Database
The app operates in two 2 modes. The first mode was using
Airtable Realtiime Technology only
which is the default settings. The second Mode uses
Both Airtable Realtiime Technology and Socket.io
.. Why I also added the second optional mode is that if the collaborators wants to know
when others are typing, when new messages arrived in a flash display, getting sound notification on new message arrival etc.
This causes me additional coding efforts at its nodejs and socket.Io server side is hosted on
glitch.com
.
The app admin can always switch between the two app modes You can setup the mode that is best for you
Challenges I ran into
Implementing unread message count for offline collaborators within one to one chats(private chat) takes me time. it was just a little code but am glad it work. The scrollbottom function
for the app also takes me some little time
Accomplishments that I'm proud of
What I submitted is just a start. Am working already in building a fully functional super advance
realtime Team Collaborators Chat system on Airtable. Just relax and watch...
What I learned
While am new with reactjs. Airtable forces me to move from old Reactjs class coding approach to
functional react hook coding approach. In the first place it was a hurdle for someone like me who is coming from jquery ,vuejs and angularjs world. Working with reactjs functional approach now seems to me to be best coding among all.
What's next for Air Chat
This applications was written in a haste coupled with power outages that we normally have. You know what, my main
Airchat system
is already on the way and will be ready very soon. I mean very soon.
I will launch a super featured, super multi-role functional Chat app on airtable that will be powered by Airtable SDK.
Built With
airtable
react | Air Chat | A super advanced Group Chat and one to one(Private) Chat System that allow teams to Share Text Messages, Photos, Files etc. all in Realtime all powered by Airtable Realtime SDK. | [] | [] | ['airtable', 'react'] | 67 |
9,970 | https://devpost.com/software/airsell | Inspiration
Small businesses have been severely disrupted by Covid-19.
Small shops cannot sell their products and it is really difficult for them to go online, as they don't have experience in creating online stores.
So what if smalls businesses could easily create an online store, even without any experience?
Well, that's what AirSell is for.
What it does
AirSell is an E-commerce platform powered by AirTable.
It allows businesses to easily create and publish online stores. Customers can view products, select their preferences, add them to the basket and complete the purchase using Stripe. And the best part: all data is stored in AirTable, which can be easily customised for each business-specific demands.
Implemented features
Setup wizard
Configure themes
Configure name and description
Configure Products table
Configure Orders table
Configure Customers table
Configure Order Products table
Automatically select fields and table based on the name
Publish Ecommerce
View summary of Ecommerce
Allow to edit and republish Ecommerce
Show menus categories
List products
List products by categories
Show products attributes
Add to cart
Select product attributes
Show products' images
Empty cart
Go to checkout
Verify purchase status
Send order to AirTable base
How I built it
I have used AirTable blocks for the frontend and Node.JS + Express for the backend. I have also used Stripe API for payments and the AirTable API to submit the orders to AirTable.
List of AirTable UI features used:
Heading
Button
FormField
Input
Link
Text
Label
Dialog
TablePickerSynced
FieldPickerSynced
loadCSSFromString
globalConfig
useBase
useRecords
Accomplishments that I'm proud of
I'm proud of being able to create a flexible, themeable and customisable Ecommerce powered by AirTable within such a short period of time.
What I learned
I've learned how to create AirTable blocks and how to use the AirTable API. I was impressed by how flexible and powerful the Airtable solutions are, you can build basically anything with it.
What's next for AirSell
Add more E-commerce configurations
Allow adding additional pages (about us, policies, etc)
Allow sending messages to customers via the platform
Add stock management
Built With
airtable
express.js
node.js
react
stripe
Try it out
menshoes.airsell.me
github.com
github.com | AirSell - Build your own Online Store | Build an online business powered by AirTable | ['Gustavo Zomer'] | [] | ['airtable', 'express.js', 'node.js', 'react', 'stripe'] | 68 |
9,970 | https://devpost.com/software/chatty-nfg54k | overview
ovrview
reactions
polls
emojis
replies
Inspiration
My life's vision is to build products and services that inspire people and give them the courage to live their best lives.
The goal of this project was to enable collaborators in Airtable, chat about issues that need to be quickly resolved and take polls to quickly rank records in tables.
What it does
Chatty creates a chatroom in a base and allows collaborators to communicate seamlessly and intuitively, it also allows collaborators to create polls and rank records in a table, so quick decisions can be made easily.
How I built it
I used the following Airtable APIS in the application
Global Config
,
Base
,
Records
,
Table
,
Cursor
.,
Session
I built the chatroom in a way in which the chats are scoped to tables, so the tables serve as channels and collaborators can discuss about issues that pertain to a particular table in that channel, in this way the chatroom becomes more productive and less cluttered. It was built with react hooks and airtable APIs.There is also a provision to create time limited polls to rank records in a table.
Challenges I ran into
The major challenge was managing state and ensuring that not too many renders where happening, also designing the UX in an intuitive way so the design does not feel choked.
Accomplishments that I'm proud of
I am proud of the fact that this is my first open source project and I am happy to share it
What I learned
I learned advanced concepts in React hooks
I understood deeper concepts of the rendering process in react
What's next for Chatty
I plan on finding a way to improve the chatting experience and make it more intuitive and natural
Built With
airtable
react
tailwindcss
Try it out
airtable.com | Chatty | A block that allows users to quickly chat and take polls to rank records in airtable | ['David Salami'] | [] | ['airtable', 'react', 'tailwindcss'] | 69 |
9,970 | https://devpost.com/software/shift-manager | Inspiration
One of the suggested idea for the hackathon, I though it was a great way to learn to develop blocks.
What it does
All you need is a table of workers, and the maximum number of hours they work each week. Then enter the details of your workplace into the settings, such as how many days you are open, how many hours, what times, and we will assign worked to fill the shifts.
How I built it
Using custom blocks on airtable
Challenges I ran into
I gained experience from my first airtable. The issue with this problem was creating an algorithm that fairly gave workers good hours.
Accomplishments that I'm proud of
Creating an algorithm that works, and fairly distributes the work
What I learned
I learnt to create new fields, and how to setup a table.
What's next for Shift Manager
There are so many things to add to this block. The next big thing would be working out the hours each person will work. But there are a number of options, such as setting skills, like opening and closing. Setting times when someone has to work, then working around that.
Built With
airtable
blocks
Try it out
github.com | Shift Manager | Shift Manager lets you assign workers to their shifts for your workplace. | ['John Lyons'] | [] | ['airtable', 'blocks'] | 70 |
9,970 | https://devpost.com/software/badge-printing-block-for-visitor-sign-in-kiosk | Badge Printing Kiosk
Badge Printing
Printed Badges
Sign-in Kiosk Splash Page
Visitor Sign-in Form
Process
Inspiration
Inspired by professional badge printing systems from Teem & Envoy, we created a Badge printing block for the Visitor Management template included with AirTable. It uses the information from the visitor sign-in to generate a PDF badge, which can be printed out for each visitor, without leaving AirTable!
Features
Stylish Splash Screen
Visitor Sign-in Form
Badge Printing
Visitor Notifications
NDA / Document Signature
Setup Guide
What it does
The block pulls information from the visitor sign-in form, and uses it to generate a 2.25" x 4" PDF, formatted and optimized for thermal badge label printers, such as the Brother QL series, or Dymo printers.
How we built it
Our frontend is built as an AirTable Block in React, and our backend generates the PDFs using Node.js, Phantomjs, and the
html-pdf
module on NPM
.
Here's a time lapse of us building the kiosk:
Source Code
The AirTable block can be found here:
https://github.com/Meeting-Room-365/AirTable-badge-printing-block
The badge printing backend is located in a separate repository, here:
https://github.com/Meeting-Room-365/badge-printing-backend
Accomplishments that we're proud of
We created a guide for the entire no-code kiosk setup, including integration with other tools like SignRequest and Zapier, to add document signature to the workflow.
Setup Guide
You can view the full guide, here:
https://medium.com/@jamesfuthey/create-your-own-airtable-powered-visitor-sign-in-kiosk-for-free-687cb28307b3
What's next for Badge Printing Block for Visitor Sign-in Kiosk
We're working to publish our Badge printing block on the AirTable Block gallery (free).
Meeting Room 365 Team
Bobby, James, Ignacio, and Hari contributed to this project.
Built With
javascript
node.js
react
Try it out
medium.com | Badge Printing Block for Visitor Sign-in Kiosk | Use the visitor sign-in to generate a PDF badge, which can be printed for each visitor, without leaving AirTable! | ['James Futhey'] | [] | ['javascript', 'node.js', 'react'] | 71 |
9,970 | https://devpost.com/software/keyword-counter | Keyword counter block
Inspiration
A friend in a start-up company was telling me about writing text for his product and the difficulty of crafting quality content, while also including keywords for search engine optimization and managing character counts.
A tool to automatically track keyword usage and other statistics would let him focus on making the content appeal to human readers.
His process reminded me of how I used to composed sentences with spelling words to dictate to my language arts students. Trying to cram up to twenty spelling words in five original sentences every day for years was a mental workout. At least those sentences didn't have to fit together! I also assigned my students vocabulary words to use in compositions. A tool to automatically highlight those vocabulary words would have made grading those compositions much easier.
What it does
You configure the block for a pair of fields in an Airtable base: one field for the text content, and another field with a list of keywords. As you work with a record, the block shows which keywords exist in the text content, including a count of how many times each keyword appears and a color-coded view of the text with each keyword highlighted.
How I built it
I had the idea for this custom block only a few days before the deadline for the Custom Blocks contest.
In order to develop this block quickly, I leveraged one of my existing custom blocks as a template.
Other than a few minor text changes, I only had to focus on the single file that calculates the keyword statistics.
As I had a fast-approaching fixed deadline, I used an iterative development approach, rather than a waterfall process. I started with essentials first: identifying character and keyword counts. Then I circled back and put keywords in bold and required keywords to appear at the beginning of a word boundary. Then I circled back and let users pick a color for keywords used instead of making the keywords bold, and I added support for accented characters. Then I circled back and let users pick two colors: one for the used keywords and another for unused keywords.
Challenges I ran into
In order to color-code keywords, I had to insert html tags into the text string. Those html tags included words like "span", "style", and "color", which could also end up as keywords. As I added the html tags, I had to figure out a way to exclude keywords that were part of an html tag and not in the original text.
Accomplishments that I'm proud of
I'm proud that I was able to to incorporate last-minute feedback provided from a remote beta tester over the phone.
What I learned
Regular expressions have trouble identifying word boundaries in Asian characters, even if there are spaces between words.
What's next for Keyword Counter
In addition to knowing which keywords are used in the text, it would also be useful to know statistics about the other words in the passage, such as identifying the most frequently used words (even if they aren't keywords).
Built With
airtable
react
Try it out
github.com | Keyword Counter | See your keyword usage in Airtable as you write content for search engine optimization, draft essays with vocabulary words, or even create sentences with spelling words. | ['Kuovonne V'] | [] | ['airtable', 'react'] | 72 |
9,970 | https://devpost.com/software/observer | Inspiration
I found Airtable to be an amazing avenue for sharing information in a collaborative way. While looking through the Airtable's block inspiration base, the idea of an Activity Viewer stood out because having a bird's eye view of all change events is crucial in a place where multiple people can work on and modify existing information.
What it does
Improve team collaboration by providing a single cohesive view of all changes performed across an entire Airtable base in a simple and easy to use interface.
How I built it
As with many good software, we went with the user experience first. How we wanted the block to look like and how a user would interact with it. From the beginning we already knew we wanted something that would be easy to use and would just work without any initial setup. After we've had the vision in mind, we started fitting the code to this vision.
Challenges I ran into
There were many trial and errors. While the tutorial and block examples were helpful, there weren't any existing example that closely resemble change event tracking. Luckily, the block API documentation was thorough and complete.
Accomplishments that I'm proud of
Being able to utilize many of the existing API to make this work.
What's next for Observer
While most the core functionality of Observer is completed. We still have work to do in order for a production release. These include optimizing memory usage, addressing any stability issues through thorough testing, supporting event tracking on some usage including Kanban drag-and-drop. After the initial launch, we plan to have a roadmap to include additional features mainly on monitoring, alerts and custom actions on individual events.
Built With
airtable
Try it out
github.com | Observer | Observer is an open-source Airtable block that enables streamlined activity feed across all collaborators on an Airtable base through automatic event tracking. | ['Jeffrey Lewis'] | [] | ['airtable'] | 73 |
9,970 | https://devpost.com/software/airclassroom | AirClassroom
AirClassroom is an Airtable Block that integrates with Google Classroom for easier management of assignments and course content for students and parents.
Inspiration
When working with teachers in New York City public schools, I found that one of the biggest challenges facing students and parents in remote learning was simply understanding what was expected of them each day. All of the public schools in NYC implemented Google Classroom to manage their remote learning during Coronavirus. Within Google Classroom, students and parents can access the work assigned to them, but it is not always clear where to begin, or what to do after finishing one assignment. Additionally, the assignments are grouped by course so there is no easy way to see all assignments across courses.
What it does
This block pulls courses, assignments, and materials from Google Classroom into a user's base, providing an overview of their overdue and upcoming assignments. From within the block, users can navigate through their coursework and view their course materials.
How I built it
This block is built using React.js with the Airtable Blocks SDK and Google Classroom REST API. The ClassroomSync Component is responsible for authenticating with Google and reading data from Google Classroom into the Airtable base. The ShowAssignments Component compiles the data from the Airtable base into the Block to be displayed for the user.
Challenges I ran into
It was difficult to build in the authentication process for Google Classroom's API, as it involves loading the API before use. Additionally, being new to React, I had to work through a lot of issues with using hooks: I didn't immediately know that hooks can only be used within function components. This caused me to refactor my code in a new way so that I could pass data as props.
Accomplishments that I'm proud of
Determining how to authenticate with Google within an Airtable Block
Identifying interesting ways to use Airtable UI components
"Flattening" certain JSON objects into a more exchangeable format (allowing Materials to be of multiple types)
What I learned
The order of function calls matters a LOT (hint: don't forget to "await" asynchronous calls!)
Moment.js is great for comparing and displaying Dates
.filter is your friend
Modularize and componentize as much as possible! Much of my code relies on reusing the same functions on slightly different datasets.
What's next for AirClassroom
Allow students to submit assignments from within Block
"Teacher" view for creating new assignments and setting the order in which they should be completed
"Parent" view to aggregate all their children's assignments
Synchronous class events: e.g. notify user when it is time to attend a scheduled Google Meet
Integrate with other LMS (Canvas, Blackboard, etc.)
Built With
airtable
gapi
google-classroom
javascript
react.js
Try it out
airtable.com | AirClassroom | Syncing Google Classroom with Airtable to help students and parents track their work across all of their courses. | ['Laura Bloch'] | [] | ['airtable', 'gapi', 'google-classroom', 'javascript', 'react.js'] | 74 |
9,970 | https://devpost.com/software/table-order | Table order in action
Inspiration
As one of the user stories suggestions, I thought it would be a great start to getting used to developing for airtable.
What it does
It automatically assigns guests to tables. It also allows you prioritize as many guests as you want, and will find tables for the others.
How I built it
It built it in airtable using custom blocks.
Challenges I ran into
I had to learn airtable blocks, react, and how to update tables
Accomplishments that I'm proud of
Getting it finished and working.
Producing a usable UI
What I learned
How to interact with airtable cells, and update them
What's next for Table Order
Not sure.
Built With
airtable
blocks
Try it out
github.com | Table Order | Easily assign guest to seats. You can prioritize some guests to certain tables, then the others will be assigned to the empty spots. | ['John Lyons'] | [] | ['airtable', 'blocks'] | 75 |
9,970 | https://devpost.com/software/distance-grouping | Two blocks: Distance Matrix and Distance Grouping
Using the output of the our two blocks with the Map block
Inspiration
We met each other during this airtable contest. We shared some ideas for airtable blocks, and we came up with 'distance grouping'. As a member of the national volleyball league in Belgium, Pascal has to organise the competition for all youth teams. In Belgium only, parents drive +5.000.000 miles per season with their children to the volleyball games.
Please watch our pitch-video:
https://www.youtube.com/watch?v=aw8hQ_wRqf0
Demo video:
https://www.youtube.com/watch?v=Aen_t8UmrLk
What it does
Two things:
Block 1 (Distance Matrix): Gets the distances between all locations
Block 2 (Distance Grouping): Divides locations into groups based on minimizing distance
Use case: Our airtable block can be used to organise the series within a Volleyball League. The block generates evenly spread groups in the most efficient way regarding total amount of miles between the teams in the group.
It can be used in any team-competition like basketball, soccer, hockey, ...
How we built it
First version: a single block that used the Google Maps API to map the locations, calculate the distances between the locations (distance matrix), group the locations based on distance, and then display the groups in a map.
Second version: break out the functionality of the first block into four separate blocks. For mapping and geocoding the locations, we defer to Airtable's Map block (rather than build our own). For calculating distances between locations, we use our custom block Distance Matrix. For finding the optimal grouping, we use our custom block Distance Grouping (which gets data from Distance Matrix block). To visualize the grouping, we defer again to Airtable's Map block.
Challenges we ran into
Distance Matrix:
Google Distance Matrix API has limits that make using it a bit more complicated
Saving the matrix is also complicated. We could make the user create a new table to save the data, but because it's a hackathon, we decided to see if we could save the data in block and pipe it over to the other block. Unfortunately, we ran into limits when trying to save large matrices into the block's own storage (i.e., globalConfig).
Distance Grouping:
Combinatorics! It's not factorial but the solution we have currently doesn't scale. The current solution simply generates all of the combinations, scores them, and picks the one with the best score. For 16 locations divided into 4 groups, that's (16 choose 4) * (12 choose 3) * (8 choose 2) * (4 choose 1) = 44,844,800. So, for 16 locations, the code has to score 45 million combinations and then iterate through to find the best score.
Accomplishments that we're proud of
We innovate for a better world
We found a challenge that is hard to solve. (at this moment, a few hours before submission we are still searching for a solution in distance grouping, for a number of teams>10).
We made it work to communicate between 2 blocks
What we learned
We can build things together as a team, even if you live on other side of the world.
Combinatorics are hard.
Blocks can talk to each other, if you try.
What's next for Distance Grouping
Watch out our pitch-video (
https://www.youtube.com/watch?v=aw8hQ_wRqf0
) to check future opportunities.
We like to continue work on this.
Possible next stops for code:
Make the Distance Matrix block more generic, expose more of the Google Distance Matrix API features through the UI.
Generalize and abstract (make reusable) the code that allows blocks to communicate with each other.
Built With
airtable
airtable-blocks
react
typescript
Try it out
airtable.com
drive.google.com | Distance Grouping | We innovate for a better world by saving 1 million miles by car. Every season. | ['Pascal Cuppens', 'gab lafou'] | [] | ['airtable', 'airtable-blocks', 'react', 'typescript'] | 76 |
9,970 | https://devpost.com/software/reminders-fcpt3b | Airtable Reminders
Example
Inspiration
Never miss an important deadline again. If you’ve ever used Airtable to manage a list with due dates, there is a manual process of following up on actions, tasks, or users. Not anymore. With the reminders block, you can easily send a reminder email to the owner of the task in one click. No manual effort required.
Easily manage and filter large lists of customer outreach, company todos, or other data-based action items. Filter out those which are completed and easily follow up with the task owners in one click!
How we built it
We build this reminder block using the new Blocks SDK alongside an email server hosted on Heroku. When a user clicks the “remind” button, an email is sent to the task owner with information about the task and when it’s due.
Contact Information
Shaun Van Weelden:
[email protected]
Lee Robinson:
[email protected]
Code Links
https://github.com/shaun3141/airremind
(Block Code)
https://github.com/shaun3141/reminders_server
(Email Server for Reminders)
Built With
javascript
node.js
react | Reminders | Never miss an important deadline again. With the reminders block, you can easily send a reminder email to the owner of the task in one click. No manual effort required. | ['Lee Robinson', 'Shaun Van Weelden'] | [] | ['javascript', 'node.js', 'react'] | 77 |
9,970 | https://devpost.com/software/my-shop-block | KPI on the Max Min using Vertical Lookup
Item Information
Alert on the value and quantity of the stock
List of Items in stock
GIF
GiF Demo : select item
GIF
GiF Demo : check KPI
Inspiration
In the forum I saw a lot of question on the stock management and my wife has a store as well. Indded she needs an easy tools to manage her stocks. To get quick information I believe Airtable is the solution and it is accessible to all the users, with different permission. So I use this oportunity to create the Block, and I put myself in the place of novice users who are managing a small and medium store.
What it does
My Stock Block manage the stock of a store and can be shared to all the users of the company : store manager, seller, procurement and finance team. You can see all the stocks, check specific information for an items and create a KPI to check on live that everything is OK. There are 3 types of KPI :
hard coded KPI for the alert of low stock and high value store
one personalized KPI created manually with one table
one personalized Vertical Lookup KPI created with one button
How I built it
Interface : Airtable and Blocks SDK
Language : REACT, Javascript and CSS
Tools : Visual Studio Code
Time : night and during the weekend but never under pressure
Food : milk and coffe, sometime a beer and always with a lot of fun
Challenges I ran into
I didn't know the REACT, so I must read and try a lot before to understand how it works.
Also, as I was a novice in Airtable I face some difficulties . For instance I had to link the tables together specially when I want to show the Max/Min of the fields from another table. At the end I add all the records from other table manually, and it took time. Because of that, I add the KPI Vlookup that find a field based on condition Max, Min or Median.
Accomplishments that I'm proud of
To be able to close my project, even I know that the Block can be improved base of the specific need. It is a good start, and as the code is accessible to everybody, it is possible to add new module and option.
What I learned
I learn how to use Airtable and the limit of the soft. Also I learn the REACT language.
What's next for My Shop Block
My Stock Block has the basic usage for now. It can evolve a lot, but it will depend to the need of the business. Probably the usage of the block will create opportunity to develop the Block. the development can be done directly by the company them self if they have resource for it. It is also possible I continue to develop the module / option if the company contact me.
Built With
airtable
block
css
javascript
Try it out
github.com | My Shop Block | Manage the stock of items for a Shop, a Store or a Warehouse utility : add items, check the current stoct, get item information, create movement and see the indicator put in place. | ['Viken Toramanian'] | [] | ['airtable', 'block', 'css', 'javascript'] | 78 |
9,970 | https://devpost.com/software/make-data | Start Screen - Choose a table and how many records you want
Okay, let's map our fields to our random data types
Data is generated on our table for us to play with
Now we've created a bunch of randomly generated sample data
Inspiration
In order to play around, test or build anything on your Airtables you need data - lots of it.
Frustrated by having to type endless rows of sample data to see how our data shapes up we decided to create a block that allows us to generate random sample data to play with.
What it does
The block allows your to:
Select an existing table
Choose how many sample records you want to create
Map table field data to over 80 random data types
The sample data will be added to your table and you can clear it when you're done
How I built it
We pull in test data via a hosted CDN to keep the app fast and efficient, and create a Block with a user interface where you can map your table to random sample data you want to make.
Challenges I ran into
Because our app writes and removes data in tables. We ran into issues with the write and read limit. We got around this that by chunking data so we only do 50 bulk rights or reads at a time.
Accomplishments that I'm proud of
We got a working version of the app up - with a lot of random sample types.
What I learned
I learnt a lot about React JS and how Airtable works.
What's next for Make Data
We plan on adding more features to make the block more flexible for even more use cases.
Built With
javascript
react
Try it out
bitbucket.org | Data Factory | We let Airtable users generate as much sample data as they need! | [] | [] | ['javascript', 'react'] | 79 |
9,970 | https://devpost.com/software/causal | Inspiration
Let's say you're using Airtable as a CRM, and you have a list of leads in your sales pipeline. You might be interested in seeing a forecast of your revenue based on this pipeline. To do this, you'll have to export your data into a number-crunching tool (e.g. a spreadsheet), and use it to run some calculations and produce some charts. Every time your pipeline changes (new leads added, lead information updated, etc.), you'll have to export the data again and re-run the analysis.
Wouldn't it be great to be able to see your revenue forecast inside Airtable, that updates automatically whenever your sales pipeline changes?
What it does
The Causal block shows you a revenue forecast chart based on a list of leads in your Airtable CRM. It takes inputs like "expected deal value", "expected close date", "probability of close", and crunches the numbers to show your future revenue based on your sales pipeline. Whenever your pipeline updates, you can recalculate your forecast in one click.
How I built it
React, redux, and rechart are doing most of the work :) The plugin makes HTTP requests to the Causal API which handles the Monte-Carlo simulation and aggregation.
Challenges I ran into
We had issues with the deployment;
[email protected]
is investigating the issue. It was also tricky to use code from our main Causal app. We have a yarn workspaces setup and because we have no control over the bundling mechanism for the block we had to jump through various hoops to make it all work.
Accomplishments that I'm proud of
To feed Airtable data into custom Causal models, we built a very general framework for aggregating Airtable tables with arbitrarily complex aggregation functions. For nerds: you can think of it as map-reduce over Airtable.
What I learned
The JavaScript eco-system is messed up. Airtable's UI library looks great - great inspiration for our own product.
What's next for Causal
In this v1, we defined a specific sales forecasting model in Causal (
https://causal.app
), which your Airtable data gets fed into. Causal is a flexible number-crunching tool that lets you define your own custom models based on formulas — in the next version of our block, we'll let you connect to your own personal Causal models. You'll be able to define your calculations in Causal, and hook them up to an Airtable table to see custom charts and data tables within Airtable.
Built With
causal
react
Try it out
github.com | Causal | Generate a revenue forecast based on your Airtable CRM leads. | ['Taimur Abdaal'] | [] | ['causal', 'react'] | 80 |
9,970 | https://devpost.com/software/check-out-block | Block interface (when the Settings side panel is open)
Inspiration
I was inspired by Airtable's
Remote asset tracking
base template, which is handy if you have
Items
with multiple
Units
, each in various conditions. The template shows each unit's current condition and who currently "owns" that unit. But I thought to myself: what if I wanted to know who had possession of that unit before its current owner? At what point did this unit go from "good" condition to "poor"? Then I realized the potential a custom block could have to help manage a unit/inventory check-out/check-in system, and thus this block was born.
What it does
This block is a customizable wizard which, in its most basic form, allows users to select a
Unit
record and create a new linked record in a
Log
table detailing when that record was "checked out" with relevant fields pre-filled to save time. The wizard just as easily allows users to check that unit back in to close out the log and make that unit available for selection once more. Advanced features include tracking a unit's condition over time (i.e. the unit was in "great" condition when it was checked out, but was in "poor" condition when it was checked back in), and the ability to enable an
Items
table for bases structured where each unit is an instance of a type of item (i.e. 5 "Macbook Pros", 6 "Samsung 32-inch TVs", etc.).
This block will make day-to-day data entry for inventory managers, IT departments, librarians, equipment rental businesses, and more all that much easier!
How I built it
With a lot of trial and error.
Challenges I ran into
The number one challenge was avoiding errors which may arise from copying one single select field's value to another single select field, namely if one option exists in one field but not the other. This block circumvents that error by filtering out all unique select options, so only "shared" options can be copied over.
Accomplishments that I'm proud of
This block had quite a quick turnaround (less than a week) to become fully functional and customizable to fit multiple use cases.
What I learned
Every time I write a new Javascript project I learn a new use case for the spread operator. This block was no exception: I learned to conditionally pass key/value pairs to an object. This came in handy for the
.createRecordAsync
and
.updateRecordAsync
functions which pass certain field values only if the user has enabled that functionality in the settings menu.
What's next for Check Out Block
Tooltip components are slightly buggy at the moment. This block will improve when Tooltips are updated to play nicely with disabled buttons without a workaround.
Built With
airtable
javascript
react
Try it out
github.com | Check Out/In Tracker Block | Manage an inventory? Rent out equipment? Need to track who comes in and out of a building? Manage when a record is "out" and "in" with ease using this custom block! | ['Kamille Parks'] | [] | ['airtable', 'javascript', 'react'] | 81 |
9,970 | https://devpost.com/software/blocksbin | Inspiration
What it does
BlocksBin
is a collection of templates and Custom Blocks for
Airtable
.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for BlocksBin
Try it out
bitbucket.org | BlocksBin | BlocksBin is a collection of templates and Custom Blocks for Airtable. | ['Warp Smith'] | [] | [] | 82 |
9,970 | https://devpost.com/software/cad-import | CAD import block
CAD importer block
This block allows users to analyse 3D CAD drawings (in .step / .stp) format and use it as a base to build their own airtable bases around this. There are many industries for which often 3D models are the bases of their day-to-day processes and administration. Getting this 3D data into a tool like airtable is often a slow and cumbersome job. This block solves this and in combination with the default features of airtable allows for some amazing solutions.
Inspiration
At the moment I work with a lot of factories that produce "made to order" product. This means they have to produce products their customer has designed and often have never existed until that time. The nature of these "made to order" businesses often turn simple processes as quotation and planning to tough subjects that are very dependent on the specific product that has to be produced.
At this point we see a lot of customers that manually enter data into Excel sheets organize some of this data. And on the other hand are the large production facilities that have expensive ERP systems that help with the above mentioned processes.
I believe the combination of airtable with such a CAD import block would allow to tailored solutions for various factories and engineering firms alike.
What it does
The tool currently uses the SmartPart API to process CAD models. Doing so allows one to store some of the extracted data and images to be stored in airtable records. At this point only some basic information is added to the records as an image, dimensions and volumes, there are however many more variables available from the API that could be used to further enrich the records. Currently, there are 3 main flows are implemented to interact with the block:
Open a single .stp/step file and create a record from this
Import all .stp/.step attachments from a record and add the results to a new record
If a previous record indicates the part contains multiple parts (e.g. an assembly) one can request to process all sub-parts and add them as separate records to airtable.
Challenges I ran into
Getting attachments to and from airtable without having to expose them publicly seems impossible at the moment even using the block SDK. An example is the uploading of part images that currently has to be done using Imgur as a temporary file server. It would be great if we can get attachments to and from records/blocks without having to expose them.
What I learned
Using react was a first for me. Although the examples helped a lot in getting up and running with everything.
What's next for CAD import
I believe with the prize money we could fine tune this block and run some pilots with factories around the world. Only learning of airtable 2 month ago I already feel it would be an amazing tool for production facilities and engineering firms around the world.
Built With
axios
jsonpath-plus
react
react-dropzone
smartpart-api | CAD importer | Made to order products come with an enormous amount of data that needs to be processed/organized. With "CAD import" you can extract all the necessary information straight from your 3D drawings. | ['Tobias -'] | [] | ['axios', 'jsonpath-plus', 'react', 'react-dropzone', 'smartpart-api'] | 83 |
9,970 | https://devpost.com/software/qrgen | QRGen Screenshot
Inspiration
I wondered how Airtable can be utilized for PoS (Point of Sales) apps. Most PoS terminals allow the customers to pay via smartphones, so this custom block is all about that. This custom block can act as an enabler for Airtable, to handle QR Code based mobile payments, and can handle similar sized pieces of information, that can fit in a QR Code.
What it does
QRGen is a custom Airtable block that displays the selected table cell contents as a QR Code. When an empty cell is selected, the NULL QR Code is displayed. If the cell contents change, QR Code too will update itself in real-time. If no cell is selected, it will display a message requesting the user to select a table cell. If the cell contents are too large to fit in a QR Code, it will say so, via displaying a message. If more than one cells are selected, it will prompt the user to select only one cell. If the fields or records are deleted, the block will never crash, and will gracefully update its status.
How I built it
I started off with the "Hello World" block, already available on Airtable examples and heavily modified it. I added a third-party QR Code reader library (freely available on GitHub under ISC license - links are given in my block's source code).
Challenges I ran into
There were some issues when trying to integrate a QR Code library programmed in vanilla JavaScript, so I had to search for a React.js based QR Code library.
Accomplishments that I'm proud of
I gained some really valuable insights into React.js development and was able to win the challenges mentioned above.
What I learned
How hard React tries to enforce a modular architecture when compared with vanilla JavaScript.
What's next for QRGen
I have already released QRGen to Airtable and hope to add further improvements based on the feedback.
Built With
airtable
javascript
qr-code
react
Try it out
github.com | QRGen | Displays the contents of the currently selected table cell as a QR Code. | ['Sandamal Siripathi'] | [] | ['airtable', 'javascript', 'qr-code', 'react'] | 84 |
9,970 | https://devpost.com/software/machine-learning-prediction | Prediction Block [Machine Learning]
This airtable block allows you to
train
a machine learning model on your base table data,
evaluate
the performance of the model and
predict
target variables given some features. You data is
completely private
as model training and evaluation all happens locally in your browser.
User Story
Jack is a real estate agent who has data (~5000 records) on housing prices across various cities in California. However, there is a new house coming up on the market which is unlisted (and hence no price) at the moment. Jack is a champion for his clients and would like to start discussing this new house. To be effective in this conversation Jack would like to have some estimate of what the price of the house might be given its features - location, number of bedrooms, baths, proximity to parks etc. Jack also wants to do this in a manner that is fast and private (sharing his data to external model building servers is a no no).
Jack uses the ML prediction block
Jack selects the target feature of interest -housing price. Since this column is a number, a regression model is suggested.
Jack opts to train a regression model using all other columns as features. The prediction block automatically infers the data type for each column and applies appropriate transformations. e.g categorical columns are one hot encoded
Jack views some metric on training progress and some numbers that indicate if the model "good or not".
Jack is satisfied with the model's performance and saves it. It is saved as a new base with each saved model a records and the model file as an attachment.
Following this, Jack (and all his collaborators) can now enter features of the any new house and get a prediction on its price using a saved model. As more data arrives, Jack can train new models. Jack now has
more information
about the
likely
price of the house to advise his clients during their meeting.
The best part is that Jack accomplishes all of this without exposure to privacy leakages (e.g. an external server). The model is trained in Tensorflow.js right in Jack's browser and his data
never
leaves his airtable base or local machine!
How does all this work? Hint: Tensorflow.js
Machine learning has demonstrated potential in unlocking value for businesses across multiple domains. Until recently, they required expensive server environments to run. With Tensorflow.js, things are different. Tensorflow.js, a framework for machine learning in javascript, is used to build a neural network model that is then applied to the task of prediction or classification.
When to Use Prediction Block
Training a model in the browser can be resource intensive and not designed from very large datasets. For data running into 100s of thousands of records, server based neural network implementations are strongly recommended.
Examples
Housing Price Prediction
Predict the price of a house given its features.
Built With
javascript
tensorflow.js
Try it out
github.com | Machine Learning Prediction on Airtable Data | Train a machine learning model on your Airtable data, evaluate model and make predictions. Data is completely private as model operations are computed locally in your browser. | ['Victor Dibia'] | [] | ['javascript', 'tensorflow.js'] | 85 |
9,970 | https://devpost.com/software/machine-learning-sentiment-block | Inspiration
This block allows you to automatically identify sentiment within text in base tables. The user can get sentiment for the entire field or for a specific text.
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Machine Learning Sentiment Block
Built With
javascript
tensorflow
tensorflow.js
Try it out
github.com | Machine Learning Sentiment Block | This block allows you to automatically identify sentiment within text in base tables. The user can get sentiment for the entire field or for a specific record. | ['Victor Dibia'] | [] | ['javascript', 'tensorflow', 'tensorflow.js'] | 86 |
9,970 | https://devpost.com/software/baseql | Airtable + GraphQL = BaseQL
BaseQL Test Airtable
GIF
BaseQL - Set Up GIF
Example of the Power of BaseQL
Inspiration
Going back to a
2017 Medium blog post
, Ben had been tinkering with the idea of building out a new way to interact with Airtable. In this legendary blog post Ben puts together a Serverless CMS/Blog System based entirely on PaaS (Airtable, Glitch & Surge.sh). After tinkering with this idea for a few years, Ben saw his opening with Airtable Blocks.
Airtable by itself is a great tool to brainstorm ideas, bootstrap apps, or create the occasional side project. Airtable makes it easy to start with a spreadsheet-like UI/UX, but has enough power as a relational database. Even as a web developer, Ben can tell how powerful it is to have something like Airtable at his disposal, he even has some production apps running on top of Airtable to this day!
That’s why we think there’s a lot of potential extending the power of Airtable to be more developer-friendly, but not constrained by code, as no-code tools have become as powerful as code itself.
What it does
BaseQL provides a dynamic GraphQL API for Airtable bases. BaseQL is built for allowing speed of development without the hassle of a managed database. It enables engineers and low/no coders everywhere to put a custom interface on top of an Airtable base.
Whether you are a data engineer stitching multiple data sources together or you are building a brand new application, BaseQL has the power of GraphQL with the reliability and user interface of Airtable.
How we built it
We rely on the powerful Airtable Custom Blocks API to dynamically create GraphQL endpoints on-the-fly. We then ask the users to install our Custom Block and provide their API Key (until there’s OAuth or throwaway keys support) to fetch the data and transform it to GraphQL format (the magic!).
We use a standard modern stack which includes Javascript; Node.js and React running Serverless on top of the AWS infrastructure.
Challenges we ran into
The biggest challenge we faced was managing the API key because no OAuth or single sign on existed at the time of making our first version of the BaseQL block. This presented a challenging proposition for most users who needed to copy and paste in their Airtable API key.
Accomplishments that we're proud of
We worked diligently to identify early users and reached out to them for feedback. They were very generous with their time as they provided invaluable feedback which helped shape the product into what you see today. Taking that a step further we had one of those early users use BaseQL in production which we are very proud of. It is a testament to the quality with which the product is built.
What we learned
Airtable is truly a powerful relational database but it’s customer base is loyal and very creative. With that being said many developers we spoke to felt like they were missing a modern way to interact with Airtable and that BaseQL filled that void. Talking to different pro users we heard Airtables expansive and every growing list of use cases in applications. This included internal tools, data science, production applications and proof of concepts.
NoCode tooling and applications is a market that is having a moment of explosion...and we think BaseQL + Airtable can provide the data for the drag and drop builders no coders are accustomed to.
What's next for BaseQL
Launching to the general public for every Airtable Pro user to benefit from a new way of interacting with their Airtable base. We plan on continuing to build out additional features and continue to grow the BaseQL following.
Built With
javascript
Try it out
www.baseql.com | BaseQL | GraphQL for Airtable | ['Ben Orozco', 'Base QL', 'Daniel F'] | [] | ['javascript'] | 87 |
9,970 | https://devpost.com/software/hierarchy | GIF
Hierarchy in action.
Inspiration
I was using Airtable in a POC to pitch to my colleagues when I realised that while powerful, self-related tables are difficult to navigate and update. Especially if similar names are used at various different places in the tree. It is not possible to know a records exact place in the tree by looking at it in grid view.
What it does
Hierarchy presents a self related table as a drill-down list of siblings - you only ever see records that has the same parent. It provides a trace route of breadcrumbs links to all the branches the user clicked on. At any level you can quickly add a new child to a parent, knowing it is in the correct spot - no guessing. There is also pruning and grafting capabilities, that helps to make sure that your self-related table's data is clean and accurate.
How I built it
I did the tutorial and then dove straight in. I wanted to build it with just basic javascript with the Airtable api so that it is fast.
Challenges I ran into
I am not that familiar with JavaScript and React so getting the finicky syntax of colons, braces etc was a challenge. Also figuring out what in the code is causing an error is not always obvious or intuitive.
Accomplishments that I'm proud of
I think the whole block is quite an accomplishment, from navigation, to building the breadcrumbs, adding new records and pruning and grafting.
What I learned
To be patient with JavaScript.
What's next for Hierarchy
On the GitHub page I have a roadmap of where I think Hierarchy can go. Linked record lists, Customised display card, Roll-up values and Branch templates, to name a few.
Built With
javascript
react
Try it out
github.com | Hierarchy | Hierarchy makes it easy and intuitive to navigate and update self-related Airtables. | ['Chris Laurie'] | [] | ['javascript', 'react'] | 88 |
9,970 | https://devpost.com/software/sketch2code-block | Hand-drawn sketch
Code generation
Create and Edit sketch
Generate Code from computer sketch
Device preview
Generated Web page
Inspiration
What more could we accomplish if the time to test an idea was zero?
I've been in awe of what computer vision can accomplish and how it can bring about positive change in our business processes. One such area is UI prototyping. Sketch2Code made me rethink the efficiency of existing accepted process by demonstrating the utitlity of AI and computer vision in producing prototypes for user testing. I got the idea that integration with tools such as airtable would make it readily accessible and fit seemlessly in the users' collaboration space while also making them far more efficient.
What it does
Sketch2Code Block allows one to transform a UI sketch into a working web interface within seconds. If you have sketch anywhere, just click a photo and add it to your airtable attachments. Select the attachment and open sketch2code block in "Code" mode.
Sketch2Code runs in 2 modes:
Sketch
: You can create sketches and "Save" them to your table. You can edit existing sketches using "Load" feature.
Code
: Move to this mode and choose the attachment field containing your sketch to watch your sketch come alive in a web interface embedded inside the block.
Configuration
This block can be used without any configuration. However, configuring the blocks allows for more cool things to be possible. Let's see what configuration possible.
Custom Sketch2Code API
: You can train your own Sketch2Code vision model following the documentation provided
here
. Enable custom API and provide the URL of your hosted Web API and the Blob storage. This will allow you to train on your own images and extend the current microsoft dataset.
Specific fields for Sketches and prototype URLs
: When you enable this and pick a specific table and field for sketches and prototype URLs, it will be possible for you to click on a record and the block already knows which fields to look for. Prototype URLs field should be URL/Barcode field type where your Prototype preview URLs will be stored automatically after code generation.
Things to try:
Prototype Preview
You can click on "Device preview" after generating your sketch to get a URL to access your web interface from any device. It also shows a QR code which you can scan from your mobile device to immediately open the web interface without any hassle.
Action Buttons
You can add Action buttons (which went into public beta recently, yay!) to your airtable. Configure these buttons to open the Sketch2Code block. Combined with configuration in settings, you can start editing your sketch or generate code using buttons.
Barcode field type
You can use the field type in your table. This will allow you to use your airtable mobile app as a Barcode/QR code Scanner which you can use to scan the QR Code of your Web interface prototypes. When you scan a QR code using your airtable field, it automatically adds the information in the QR Code to your record
How I built it
Airtable Blocks SDK
Microsoft Azure Cloud and Customvision.ai
React-sketch (runs on Fabric.js)
Challenges I ran into
I really enjoyed learning how people use Airtable and the different processes teams adopt to use airtable effectively according to their needs.
Polishing an Airtable block required thinking about User experience and easy of access, managing user permissions, etc.
Training of Sketch2Code was quite difficult since the repo is written in C# and not actively maintained.
Accomplishments that I'm proud of
Training a custom vision model that performs well for a very small dataset of about 140 images with 10 classification labels.
Building a easy to use extension that integrates with and enhances the design proccesses.
What I learned
Airtable Blocks SDK to build apps that run within airtable
Azure Cloud
What's next for Sketch2Code Block
Real time multi-party collaboration on Sketches (Google docs for UI sketches).
Built With
airtable-blocks-sdk
azure
customvision.ai
fabric.js
react
react-sketch
sketch2code
Try it out
github.com | Sketch2Code Block | A new way to do Prototyping and user feedbacks! UI Sketch to Prototype Code within seconds from inside your Airtable Collaboration space. | ['Shashwat Gulyani', 'Shweta Gulyani', 'Piyush Agrawal'] | [] | ['airtable-blocks-sdk', 'azure', 'customvision.ai', 'fabric.js', 'react', 'react-sketch', 'sketch2code'] | 89 |
9,970 | https://devpost.com/software/conversion-block | GIF
GIF
This
airtable block
allows you to create new fields which
convert existing fields into the units you need
.
It includes: currencies, lengths, surfaces, volumes, temperatures... and more to come!
Use cases
Airtable is a great tool to collaborate with your team: its real-time collaboration features and user friendly interfaces allow anyone to use it without having to think about how it is working!
You can store your pending sales, your product catalogs, your next projects... but often you don't have a full control over the data. Maybe someone else created the table, maybe it was filled using a CSV, or maybe it is connected to an Airtable Form?
No matter how your table was filled, you probably wished to convert a field into another format/unit and that's why I built this block!
The Converter Block helps you to automatically create new fields converting values from other fields into the right format/unit.
If you store your sales on Airtable, you probably have one field containing the amount in US dollars, you can now create another field in euros (or any other currency) that will automatically convert the amount using the lastest currency exchange rates!
If you store the list of your employees and their respective sizes to send them goodies, you probably stored the size in whatever unit your prefered. But maybe the website you use to order the goodies requires another unit. You can now convert these values in a few clicks with the Conversion Block!
Next steps
I implemented 5 conversions: currency, length, area, volume, temperature.
Some of them are a synchronous calculation and could be replaced with a formula, but this block is also working with asynchronous conversions like "currency" that require to fetch first the currency exchange rates of the day.
Thanks to this system, we could easily add more complex conversions like changing the file type/size/quality of file attachments. Any asynchronous operation which converts a value into another one is possible.
Built With
react
typescript
Try it out
github.com | Conversion Block | This block allows you to create new fields which convert existing fields into the units you need. Currencies, lengths, surfaces, volumes, temperatures... | ['Antoine ESTEVE'] | [] | ['react', 'typescript'] | 90 |
9,970 | https://devpost.com/software/airtable-blocks-api-explorer-by-superblocks-at | Inspiration
A
Dev Tools
block and an npm package that can be added to any custom block and that improves the productivity of custom block developers by:
Saving valuable time spent on watching api models using debugging and logging techniques - the block watches
all
the property values of all the models in the blocks api.
Providing a
GlobalConfig
editor - so that a block developer can view
and
edit the global config in development mode
and
in release mode. For me, it was extremely useful and time saving to be able to:
Clear / remove only specific keys from globalConfig and not all of them.
Have access to globalConfig in release mode too
What it does
An
API explorer block
- with support for viewing the property values of the following models, exactly as you get them from the api:
Base
Active table
Active view
Selected record
Selected field
Cursor
Session
Viewport
An
npm package
that can be added to any custom block and that in addition to the above provides a
GlobalConfig
editor - so you can view
and
edit the block's global config in development mode
and
in release mode.
How I built it
The npm package was created using
create-react-library
, which uses
microbundle
, which uses
rollup
for bundling.
The json editor / viewer is based on the
jsoneditor
npm package. I modified the source code of the
jsoneditor-react
npm package to fit my needs.
Challenges I ran into
The biggest challenge was to setup a development environment that automatically loads a block that uses the library whenever the library source code changes and that takes into account that react and react-dom can only exist once and have to be peerDependencies in the library. I accomplished that by:
Linking to the block's installation of react and react-dom from the library's devDependencies using
npm install's folder target
. See the
package.json
of the library.
Creating a grunt watch task that touches the block's index.js whenever microbundle rebundles the library.
Accomplishments that I'm proud of
The creation of a blocks library development environment that automatically loads the block when the library changes. This can:
Provide guidance to the custom blocks developer community on how to setup similar development environments for their own libraries
Help grow the selection of published open source 3rd party libraries for block developers.
The fact I created a block and npm package that can benefit the entire custom blocks developer community.
What I learned
How to bundle libraries for use in custom blocks.
How to create a blocks library development environment that automatically loads the block when the library changes.
What's next for the API explorer block and the npm package
Add Links to the relevant blocks api documentation section wherever appropriate.
Add the ability to execute api functions which also shows correct usage through pre-populated code snippets.
Whatever else that can improve the productivity of custom blocks developers.
Built With
airtable/blocks
antd
jsoneditor
react
Try it out
github.com | Airtable apps API explorer | Explore the property values of all the models in the apps api. Based on supertools - a "dev tools" npm package that can be added to any custom block and also includes a global config editor. | ['Ronen Babayoff'] | [] | ['airtable/blocks', 'antd', 'jsoneditor', 'react'] | 91 |
9,970 | https://devpost.com/software/airtable-todos | Inspiration
To implement a basic todo list to familiarize myself with the capabilities of the AirTable Custom Blocks API
What it does
Implements a basic TODO list
How I built it
Using Javascript and React along with the excellent Custom Blocks guide
Challenges I ran into
None
Accomplishments that I'm proud of
Extended it to be more intuitive and use-friendly be defaulting to tables/views/fields if only one option exists.
What I learned
The capabilities and dev approach of the Custom SDK
What's next for AirTable ToDos
World Domination
Built With
javascript
react
Try it out
github.com | AirTable ToDos | The best to-do list app | ['Krishna Kumar'] | [] | ['javascript', 'react'] | 92 |
9,970 | https://devpost.com/software/invoice-generator | List View - Ability to create new, edit, duplicate, and sort.
Print View - Elegant customizable style.
Inspiration
Establishing an invoicing workflow for small medium businesses usually means jumping around multiple systems, each specializing in certain parts, whether design layout, number calculation, or hours accrual.
I created
INVOICER
as a drop in replacement to our current system of patched Google Sheets, Docs, and Acrobat PDF generation.
What was once a 30 minute task for generating invoices, now takes 1 minute.
What it does
Airtable Block that allows for quick invoice generation. Invoices are generated as PDF exports with ability to email via attachment using your business account. The reference base is flexible enough to be adapted to any usage or accounting method. Features built in include:
Line items that can be repurposed quickly and elegantly, helping to establish uniform cost standards.
Adaptable configuration pulling from a config table.
Ability to track invoice status.
Basic summation and invoice aggregation.
This base coupled with the block provides an invoicing workflow that gives flexibility to businesses to adapt this workflow to their own usage.
The workflow here simplifies the data entry and replication for a small medium business's invoicing workflow. No need for Quickbooks or other hefty tools, especially when all the project information is already in Airtable.
How I built it
Using ReactJS and Airtable Blocks API.
Challenges I ran into
This was my first time using the Airtables Blocks API and understanding the nuances there. I am also very new to Airtable so there was a bit of learning on the limits the tool. Reference material was helpful but there were still gaps on baseline understanding of how fields work. Blocks release is also another unknown that is not as well documented as I would have liked.
Accomplishments that I'm proud of
I'm proud of being able to use this tool to replace my existing invoicing system. I expect this block will just better with time and updates.
What's next
I'm expecting continued iteration on the block to streamline a lot of hacks that were put in place, just due to the time limits.
Built With
airtable
javascript
react
Try it out
github.com | Invoicer | Easy to use invoice generator Block, fully configurable from Airtable tables. | ['David Chien'] | [] | ['airtable', 'javascript', 'react'] | 93 |
9,970 | https://devpost.com/software/quizo | Inspiration
Subject teachers need a simple and quick interface/portal to create quiz for their students. Interface should be easily accessible. In the current time where online learning has become a part of life, it shall be helpful to have such an interface
What it does
Create quiz for user with multiple choice and supports Latex to incorporate scientific formula and equations
How I built it
Using Airtable Custom Block SDK and react-latex package
Challenges I ran into
Showing images in the questions, I am working on it
Accomplishments that I'm proud of
Creating simple and easy portal for teachers
What I learned
Airtable Block SDK
What's next for Quizo
Integrating Analysis and Remedy Portal
Built With
airtbale-block-sdk
react-latex | Quizo | Create rapid quiz for the users, use Latex markups to include complex formula. Store quiz results and utilize resultsfor evaluation. | ['Saleem Javed'] | [] | ['airtbale-block-sdk', 'react-latex'] | 94 |
9,970 | https://devpost.com/software/markdown-to-html | Markdown to Html Converter
Inspiration
I wanted to build a WordPress website with posts managed from an Airtable base. Much of the content was in individual fields that were easy to put into HTML format, but I also wanted to be able to publish free-form content. I decided that Markdown was the best file format for storing and editing this free-form content
Prior to the availability of Custom Blocks, I experimented with different workflows that involved external editors and previewers, but all the workflows were too complicated.
I wanted a workflow where I could edit Markdown, convert to html automatically, and preview the result without having to switch apps or remembering to save or convert.
What it does
This block allows a user to edit text in markdown, preview it as html, and automatically save the resulting html in a different field. The block can apply custom css to the preview, so I can get a better feel for how the final post will look like.
How I built it
I built this using Airtable's Custom Blocks SDK, starting with the "Hello World" example. I used the marked library for the actual conversion of Markdown to html.
Challenges I ran into
An Airtable base could have multiple places where this block could be useful. At first I wasn't sure how to deal with this situation. Ultimately, I decided that the most straightforward implementation was to require a new instance of the block for each pair of Markdown to Html fields. Each block would handle only its own pair of fields.
I also knew that I wanted to convert only one record at a time, but I wasn't sure which technique to use to determine the active record (a button push, the currently selected record, or manually selecting a record in the block). After some testing, I decided that the best method was to only do the conversion when the markdown field was actively being edited.
What I learned
I had to learn React to build this project, including managing state and using hooks.
What's next for Markdown Converter
Now that I have the text in html format, I want to write a partner block that pushes the html content to a WordPress post.
Built With
airtable
custom-block
javascript
marked
react
Try it out
github.com | Markdown to Html Converter | Type Markdown in Airtable, preview as HTML, and save the HTML in another field for publishing. | ['BuiltOnAir Community', 'Kuovonne V'] | [] | ['airtable', 'custom-block', 'javascript', 'marked', 'react'] | 95 |
9,970 | https://devpost.com/software/map-data-tools | Importing a Shapefile
Select a record for export
Inspiration
I want to help people make better use of geospatial data (aka map data) in Airtable with the Map Bock and in the apps they build with the Airtable API/SDK. There are an endless number of public/open data on the Internet, often in a format called a Shapefile, the Map Data Tools block automatically imports Shapefiles setup to work with the Map Block, plus much more.
What it does
Import Data
Import map data, including all attribution information, automatically creating centroid point locations if the data is a polygon or a line, and create location and cache fields compatible with Airtable's built-in Map Block
Export Data
Open a selected record in OpenStreetMap Google Maps, or on your phone with a QR code. Export entire tables as KML to open in Google Earth or GeoJSON to use in other apps.
Analysis Tools
Find locations nearby other locations by comparing tables, for example with a Client Locations table and Airports table, find the nearest Airport to each client and save it in a linked field.
Example Scenario
Dams are fun places to visit, especially with people looking for more outdoorsy activities. So lets make an app for finding and writing reviews of dams ...Let's call it "The Best Dam App" (tm) and let dam enthusiasts write reviews and upload photos. We'll also tell them the nearest airport so they can plan their trip!
Step 1 - Import
We'll use the GRanD dam dataset from NASA and Columbia University
https://sedac.ciesin.columbia.edu/data/set/grand-v1-dams-rev01
It will download a Zip file containing a Shapefile (Shapefiles are normally shared as Zips)
We'll then open the Map Data Tools block, choose Import, select the Zip file, choose "Dams" as the name of our table, and click Import. It will take awhile to load 5,000+ records so grab a coffee and watch the progress bar :)
Next well do the same for an airports dataset from Natural Earth
https://www.naturalearthdata.com/downloads/50m-cultural-vectors/
naming the table Airports.
Step 2 - Find nearest airport to each dam
In the Dams table, we'll create a new field called Nearest Airport. In the
Step 3 - Do something fun
Finally we'll create a Dam Reviews table where the app will store dam reviews from users. That's it we now have a simple backend for our app with tons of data from around the globe. Now we can make an app using the Airtable API, or just work with the data in Airtable using the Map Block
Or you could just write a bunch of reviews yourself (as the #1 Dam Fan) then use the Export tab of the Map Data Tools block to download the data. You can use your downloaded geo-data in a range of tools like our MapHubs products (maphubs.com), Mapbox (mapbox.com), free sites like MapForEnvironment (mapforenvironment.org), and a very long list of other geospatial and GIS software.
What's next for Map Data Tools
More analysis tools for comparing data
A companion advanced map block for additional data visualization
Support for polygon areas (currently somewhat limited by the long text field size limit, and performance of storing retrieving file attachments in bulk)
MapHubs support - integration with our open-source mapping platform, MapHubs, so you can make more maps
Built With
airtable
javascript
react
Try it out
github.com | Map Data Tools - Airtable Block | Import map data to link to your data, open locations in Google Maps or on your phone with a QR code, find locations nearby other locations by comparing tables, export data to Google Earth, and more. | ['Kristofor Carle'] | [] | ['airtable', 'javascript', 'react'] | 96 |
9,970 | https://devpost.com/software/guestmap | Set assignment
Inspiration
Maps app are interactive, this is for indoor based use
inspired by S Griders emaily app
What it does
GuestMap allows event organizer to create seating arrangement on a map like wedding
Event planners spend many hours arranging seating charts for various events. Take a wedding for example, most tables are a standard size with a set number of guests per table. This is an excellent opportunity for automation.
How I built it
Built out using React js and air table custom blocks, api
Challenges I ran into
Position markers on a map with a static image of floor layout
Accomplishments that I'm proud of
Learning leaflet and custom blocks
What I learned
What's next for GuestMap
implement drag and drop ,more maps
Built With
airtable
blocks
custom
react
Try it out
github.com | GuestMap | GuestMap allows event organizer to create seating arrangement on a map | ['frans silva'] | [] | ['airtable', 'blocks', 'custom', 'react'] | 97 |
9,970 | https://devpost.com/software/cryptosign | CryptoSign
Invalid signature
Valid signature
CryptoSign
allows users to sign their Airtable bases and tables into the Blockchain, and verify integrity of signatures. This is a blockchain alternative to signing solutions like DocuSign.
Hash
Let's first talk a little about hashes in order to understand the concept of CryptoSign. A hash is a fixed-size and unique representation of some data, like a fingerprint. The same data will always have the same hash, but if the data changes by even a single character, then the hash changes entirely. It is impossible from the hash to go back to the original data, therefore we can safely store hashes in a public blockchain without compromising the privacy of the original data. Here are some examples:
“Hello world” => 0x185f8db32271fe25f561a6fc938b2e264306edu343gu
The entire Lord of the Rings collection => 0x5aee9a0d38ffe31fe100042698edc9fbe905njh343
So what is CryptoSign?
The CryptoSign Airtable Block computes the hash of all the data in all the tables of an Airtable base, and sends the hash to an Ethereum Smart Contract that I wrote to store the hash and automatically associate it with the sender’s public address and current date. Users can then later verify signatures by computing the hash of the data themselves and checking that this hash does exist in the smart contract and has been signed by the correct public address.
Let's install a wallet
To send data to the smart contract, you need a wallet. The wallet will sign every blockchain operations (called transactions) with your private key that only you alone knows, proving you are the originator of the transaction. You can use many wallets, but for this demo we are going to use Metamask, the most popular in-browser wallet.
To install metamask, just go to the
https://chrome.google.com/webstore/detail/metamask/nkbihfbeogaeaoehlefnkodbefgpgknn?hl=en
. Then install it and create your wallet to define your private key.
Using a testnet
CryptoSign is production-ready and can be used on the Ethereum Mainnet using real Ethers. However, when sending data to the blockchain you need to pay a small network processing fee (usually a few cents), so for demo purposes, you can switch Metamask to the Ropsten test network so you can use fake test Ethers to pay for transactions.
To get test Ethers, go to
https://faucet.ropsten.be/
Let's get started (finally!)
You are now ready to use CryptoSign. Open any base document and load the CryptoSign block. You can see two buttons: “Sign Document” and “Verify Signature”. Below you can see the current document hash computed from the data of all the cells from all the tables of this base. Note the current hash begins with 0xe7... Now if you change any data, the hash changes instantly.
Now, if you click ‘Sign Document’, the current hash of the document will be sent to our smart contract. For this, Metamask will automatically open and asks you to sign the transaction for sending data to the blockchain. You need to pay some Ethers. Since we are on the testnet we are paying with test Ethers. Notice that this corresponds to only a few US cents.
Pay and wait for the transaction to be verified by the network, this usually take a few seconds but can go up to a few minutes if the network is very busy.
In the meantime, you can check on the status of the transaction in Metamask and even click on the Etherscan link to check the status on the official Ethereum block explorer.
Tadaaaa
Once the transaction is done, the document is signed! You can see that CryptoSign shows some metadata captured by the smart contract from the transaction, i.e. the date and time of the signature and the sender’s public address. If you check your metamask address, you can see that it does indeed correspond to your public address.
Let’s take a quick look at the code of the smart contract so you can understand what is under the hood.
pragma solidity 0.5.16;
contract Cryptosign {
struct Metadata {
address sender;
uint256 date;
}
mapping(string => Metadata) public hashToMetadata;
event Signed(string hash, address sender, uint256 date);
function sign(string memory hash) public {
hashToMetadata[hash] = Metadata(msg.sender, now);
emit Signed(hash, msg.sender, now);
}
function verify(string memory hash) public view returns (address sender, uint256 date) {
Metadata memory metadata = hashToMetadata[hash];
require(metadata.date > 0, "Invalid Signature");
return (metadata.sender, metadata.date);
}
}
As you can see it is quite simple. We have a mapping that stores the document hashes and their corresponding metadata, and the "sign" function that accepts the hash as input.
Notice that the sender’s public key and the date of signing are not part of the function input. They are fetched automatically from the transaction itself so they
cannot be faked or altered by the signer.
Notice also that data stored like that in the blockchain becomes
immutable and inalterable for life!
Even if the CryptoSign block gets discontinued, the smart contract data will always be publicly available in the blockchain and signatures will always be verifiable.
Now the "verify" function works just the other way. You call it with a hash and it will check if this hash exists in the smart contract storage. If so, it will return the stored signer’s public address and signing date. If not, it will send an invalid signature error.
Back to Airtable
You can then go back to Airtable and refresh the page as if you were checking it out as another user. You can click "Verify Signature" and this will send the hash to the smart contract. You should see almost immediately that the hash was found so the signature is confirmed. The smart contract sends back the metadata and we display them on the block itself so users can verify them.
Now let’s try to change some data. Modify some cell(s) and click "Verify Signature" again. The smart contract sends back ‘Invalid Signature’ because the new document hash does not correspond to any hash stored in the smart contract. This proves someone has tempered with the document since the signature was done.
Try removing your modifications to revert to the original document and click "Verify Signature" again. The signature is now correct again. Notice you could alternatively decide to keep the modified version and sign this new version instead. You would therefore have 2 signatures, one for each version of the document, but one would have a more recent date than the other. Further developments could include displaying an history of signatures.
What about security ?
As noted above, it is impossible to fake or cheat a signature sent to the blockchain because the protocol fetches it automatically from the transaction signed with the private key of the signer. The whole Ethereum blockchain relies on these cryptographic principles and Ethereum has never been hacked, despite constant attempts.
CryptoSign is more cryptographically secured than DocuSign and way less expensive. The signer only has to pay the network fee when signing a document to pay for the execution of the smart contract
Caveat
For the sake of transparency, there is one caveat to be noted. You have to know the identity of the person behind the public Ethereum address. The cryptographic signature guarantees that a public address has indeed signed the document, but it doesn’t prove the identity of the person behind that public address.
There are multiple ways to solve that issue, the most popular being that the user has to pass a KYC before using CryptoSign. We can therefore associate his public address with his identity. There are multiple services online offering to pass a "Crypto KYC" with easy API integrations. Further developments of CryptoSign could include such integration.
Conclusion
CryptoSign offers a quick and cheap solution to sign data on Airtable and provide a cryptographic proof that can be to verify the document has not been altered since the signature. Any change would immediately be visible as an Invalid Signature, and either require the data to come back to the original signed version or to sign the new version.
The use cases for this are numerous :
a consultant could agree on a pricing by signing the client’s requirements (so the client cannot change them later)
an architect could certify measurements by signing them
an auditor could sign an audit trail or a financial inspection
etc...
Anything requiring a proven signature can now be done on Airtable!
Built With
ethereum
react
solidity
typescript
Try it out
github.com | CryptoSign | Sign your tables and bases into the Ethereum blockchain and verify integrity of signatures. This is a blockchain alternative to signing solutions like DocuSign. | [] | [] | ['ethereum', 'react', 'solidity', 'typescript'] | 98 |
9,970 | https://devpost.com/software/image-annotations | Step 1. Select a table to store annotations in
Step 2. Select an image to annotate
Step 3. Add annotation's marker. Select its color and shape
Step 4. Add text and submit your annotation. You will be able to edit or delete it then
Airtable Image Annotations Block
About the block
Create annotations for images stored in Attachment fields and save it back to Airtable
How to use this block
In your Airtable base, open the Blocks sidebar on the right, and click
Install a block
In the modal that opens, click
Build a custom block
Select
Remix from GitHub
on the
Build a block
modal
Enter
Image Annotations Block
in the
Block name
field
Enter
https://github.com/kmadorin/airtable_image_annotations
in the
GitHub repository
field
Click
Create block
, and follow the instructions on the next screens to run and test the Block locally
See the block running
Block demo
Try it in action
Demo table
Future TODOs
[ ] Add another shapes for markers (line, rectangle, arrow, brush)
[ ] Add a possibility to change the color of the marker's shape
[ ] Image annotations for creating datasets for AI
[ ] Image annotations for commenting and grading student's works
Built With
airtable
konva
react
Try it out
github.com
airtable.com | Image annotations custom block for Airtable | Custom block for adding annotations to images and persist it back to Airtable. | ['Kirill Madorin', 'Artem Bryzgalov'] | [] | ['airtable', 'konva', 'react'] | 99 |
9,970 | https://devpost.com/software/schedule-conflict-block | Initial launch of block into Settings menu
Field selections are limited to only relevant types
Linked table is picked up automatically from Field selection
"Done" button is disabled until all required fields are selected
A View must be selected for the block to monitor for conflicts
Conflicts are displayed as record cards and grouped under the parent "Person" or "Item" being scheduled
Event/Booking Record cards can be clicked to expand, and the name of the Person/Item can be clicked to expand the record
Inspiration
Building booking systems for clients in Airtable always presented unique challenges - the biggest of those being the prevention of double-booking or conflicting event scheduling. Often, the solution was to export data from Airtable into some other tool for processing, and then bring it back in. This was both inelegant and brittle. Custom blocks present a perfect opportunity to provide this functionality within the same context as the Airtable data.
What it does
This block will watch a view in a table that is meant for scheduling/booking people or items from another table and determine whether a person or item has been scheduled or booked for overlapping time slots, thus bringing visibility to conflicts in scheduling before they cause problems.
How I built it
I used the 'Hello World' JavaScript template provided by Airtable as a starting place, and primarily used Airtable's SDK and vanilla JavaScript/React.js. I brought in
styled-components
to help with some
:hover
functionality, because I knew the CSS I could use for that, but couldn't quite see how to emulate the same with React's JSX and Airtable's SDK. Other than that, there are no other libraries used.
The structure of the block source is fairly straight-forward, requiring only a few functional components. The only use of
state
required was to track the progress and status of the settings menu. After that, all input from the user is stored in Airtable's very handy
globalConfig
.
Challenges I ran into
I didn't have a ton of experience working with Dates in JavaScript, so figuring out how to finagle those into just what I needed for comparisons was a unique challenge for me. And, of course, figuring out the algorithms required to capture all the possible types of overlap between two date ranges took some trial and error.
The biggest challenge, I think, was figuring out how to build the Settings menu in the most intuitive way. I knew I wanted to try to eliminate as many "bad" selections as possible, but figuring out how to do that in a user-friendly way was interesting. In my first iteration of the block, I had one spot where I would throw an error message in a modal if a certain rule was broken; but in the end, I believe I was able to come up with an intuitive flow that prevents the user from being able to make any "bad" selections at all. It required storing/clearing
globalConfigKeys
, and re-rendering the menu on any selection, passing in the new keys that were stored/cleared. I was worried about performance with that sort of constant re-rendering, but I was pleasantly surprised at how snappy Airtable's SDK, and React performed!
Accomplishments that I'm proud of
I had very little experience with React.js prior to the launch of the Custom Blocks beta, and I'm a fledgeling developer in all respects, so I'm very proud to have been able to build
anything at all
, much less what I feel to be a well-polished, functionally solid, and extremely useful plugin for a fairly wide-range of scheduling or booking use-cases. I'm beyond pleased that this Block has already proved to be a useful addition for my clients.
What I learned
I learned so much about using React -- I think I am finally getting a solid grasp on concepts like state, props, and the passing of props down through child components. And I have definitely developed an understanding of, and a great appreciation for the benefits of componentized development... see the "what's next" below.
What's next for Schedule Conflict Block
Refactoring! Now that I am understanding better what it means to componentize an app's architecture, I am realizing how much clean-up and reorganizing I can do to make my block easier to expand on in the future, and more resilient overall. I have a few functional components in the main
index.js
file that I need to spin off into discrete component files (a project I got started in my most recent PR). I have blocks of logic that I need to encapsulate into modular functions. And I'm sure there is plenty of styling that could be done more efficiently!
After that, I plan to gather some feedback from clients to see if there are ways I could make my block more flexible in terms of setup. Right now it requires a pretty specific set-up -- although, it may just be that the nature of detecting scheduling conflicts relies on that structure. In any case, I don't want to add any more major functionality to this block, as is -- I want to keep it simple so as to be capable of fitting into a wide range of workflows, as many of Airtable's own blocks do.
However, I do have a thought to spin-off a new block, based on this one, that could serve as a full-service "applet" for scheduling and booking workflows -- something that can provide real-time feedback on scheduling based on user-input, and serve as a central place for creating the events or booking records directly. This sort of tailored functionality necessarily reduces flexibility, but I think the broad concepts of creating events or booking records could be captured in a useful little Custom block as well!
Built With
airtable/blocks
javascript
react
styled-components
Try it out
github.com | Schedule Conflict Block | This block is an easily configurable, real-time scheduling conflict detector - be alerted to conflicts BEFORE they cause scheduling chaos! | ['Jeremy Oglesby'] | [] | ['airtable/blocks', 'javascript', 'react', 'styled-components'] | 100 |
9,970 | https://devpost.com/software/news-search-block | GIF
Demo Search
Inspiration
I want to use Airtable to power a curated newsletter workflow.
From searching for news articles, curating the best links and then creating a newsletter.
This block is covering the first step of the workflow
What it does
This blocks uses Bing News Search API to search the web for news articles, then add the results to your base.
You simply provide a Bing Search API key and parameters like the search query term, country code, freshness (results from last 24h, last 7 days or last month) and the amount of maximum results, and hit "Search news" and it will populate automatically news articles in the table with:
Title
Published date
Source
Description
Image (shown directly on table as attachment)
Query (the search term)
Status (default to New, in order to implement a "Curate workflow")
How I built it
Following Airtable guides and taking inspiration from their code example.
I've implemented workflow with React
Challenges I ran into
Make a function with fetch that will correctly bring back JSON from Azure API
Understand how to create records
Figure out how to populate single select field
Figure out how to make the image directly look as an image, not just a url
Use the useSynced() function to GlobalConfig
Accomplishments that I'm proud of / What I learned
First time using React and Airtable Blocks
What's next for News Search Block
I've already implemented a good workflow with a Kanban to "curate" articles, next would be to make a block to generate a newsletter issue in html of the curated articles.
Built With
javascript
node.js
react
Try it out
github.com | News Search Block | This airtable block uses Bing News Search API to search the web for news articles and create records in your table. | ['Philippe Brulé'] | [] | ['javascript', 'node.js', 'react'] | 101 |
9,970 | https://devpost.com/software/airtable-ml | Training a neural network
An open source, neural network-based Airtable Block for performing automatic prediction & classification.
Automates record prioritization, sales predictions, user assignment, classification, numerical regression, and much more.
Given a set of Airtable fields, predict: numbers, categories, dates, currency values, and more.
Learns from correct examples to predict new examples.
Runs entirely in your browser: no data is shared with any service outside of Airtable.
GPU accelerated!
Free and open source.
Usage
Using Airtable ML for prediction or regression is easy. Simply follow these steps.
Install the Block.
Click on the settings icon above the upper-right side of the block.
Select the Table that you'd like to use for training and prediction.
Select the field that contains examples of the
correct
outputs you'd like to see. (Only Records with values in this field will be used for training. In general, you should manually label some subset of your table for training, then let Airtable ML fill in the rest for you automatically.)
Select a field that you'd like to populate with predicted values. This should be of the same field type as the training field.
Select a set of fields that the neural network should consider when training. Do this by clicking on fields in your table and then using the Block UI to add or remove them. These fields should be numeric (including ratings, percents, checkboxes, and dates) or categorical (selects, single line text fields), and cannot contain the training or prediction fields. If you select a single line text field, make sure it only has a few possible values. Free-form text won't work well and will slow down training.
Tune your network settings if you'd like. You can also leave these alone to let Airtable ML try to guess optimal settings.
Train the network! This will take a few minutes and will show you progress as it runs.
Click on the settings icon again to return to the home screen. From there, click the button to generate predictions. After a minute, you should see predicted values in your table!
Technologies
brain.js
Airtable Blocks API
TypeScript
React
react-charts
Built With
airtable
brain.js
react
svg
typescript
Try it out
github.com | Airtable ML | An open source, neural network-based Airtable Block for performing automatic prediction & classification. | ['Andrew Cantino'] | [] | ['airtable', 'brain.js', 'react', 'svg', 'typescript'] | 102 |
9,970 | https://devpost.com/software/airtable-insights | .
Built With
. | . | . | [] | [] | ['.'] | 103 |
9,970 | https://devpost.com/software/airtable-rekognition |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Image Analysis Running
Object Detection
Celebrity Recognition
Inspiration
I loved the idea of running deep learning over images in my airtable base, automating what would be a very human centric task.
What it does
Airtable-rekognition uses the AWS rekognition API to detect objects in your image attachments such as cars, people and more. The block will also recognise celebrities and NSFW content, all of which will be displayed in a dialog showing the results of your deep learning report.
How I built it
I built it using the nodeJS AWS SDK as well as some HTTP libraries and of course the wonderful blocks API!
Challenges I ran into
Streaming the bytes of the images using fetch so they could be fed into the rekognition API.
Accomplishments that I'm proud of
Providing powerful functionality to a platform I love in airtable. I was happy to provide a simple way to combine 2 powerful tools
What I learned
How to use the blocks SDK
Streaming bytes directly to AWS rekognition
Some cool ideas to implement when writing react hooks in future. Airtable has implemented a fantastic, declarative API that I read some of the source code of. It helped me with some ideas for designing hooks in future.
What's next for Airtable Rekognition
global settings to enable which image analysis reports you want to see
Write the results back into another airtable table
Built With
ai
amazon-web-services
machine-learning
react
Try it out
github.com | Airtable Rekognition | Airtable rekognition allows you to run a multitude of deep learning capabilities over the images in your airtable base. Detect objects, recognise celebrities and detect explicit content. | ['Martin McKeaveney'] | [] | ['ai', 'amazon-web-services', 'machine-learning', 'react'] | 104 |
9,970 | https://devpost.com/software/gift-exchange-block | Automatically match records to each other
Visualize who is matched to who
Manually edit the assignments and view issues
Inspiration
My family has done a cousins secret santa gift exchange at Christmas every year for as long as I can remember. Last year I organized the gift exchange, and I wish I'd had a tool like this to help: both to automatically make the assignments, and to manually adjust them based on what I know about them as people. I had a lot of fun developing this block using my cousins' names as my example data! (But made up fake names for the demo video).
What it does
Once you select a table, view, and assignment field (a link field to the same table), the block makes an assignment so that each record is assigned to one other person, in a cycle. If you specify a "group" field, nobody will be assigned to anyone in the same group.
If you want to keep the assignment a secret, you can choose a hidden column to store the assignments -- that way the organizer never even needs to know who is assigned to who. Or, if you'd rather know the secret, you can visualize the assignment, with each record (color coded by its group) pointing to the record its assigned to. The visualization updates as you manually update the data in the airtable column; it also continually checks about whether your match is valid (each person assigned to give and get exactly 1 gift, and not to themself or somebody in their group) to help you understand which issues still need to be fixed.
How I built it
The airtable custom blocks API provides a great UI toolkit, react hooks to enable responding to changes in the underlying data, and of course the source of data itself.
I used animate.css for making the settings pane and success present animations, and cytoscape.js with the avsdf layout for visualizing the match.
Challenges I ran into
Near the end I found a number of bugs when I would update the schema of the base or the table or view in settings, and my code would fail because it hadn't considered that case. Alongside the flexibility/power of the airtable custom blocks SDK comes a number of ways to shoot yourself in the foot! But using the "Polish your block" guide I was able to test for a number of this pitfalls and fix them.
Accomplishments that I'm proud of
I love the happy present wiggle when the match is successful!
What I learned
I investigated so many cytoscape layouts -- there are a lot of really neat options out there. I decided on avsdf because I liked everything in a neat circle, even when the graph wasn't a cycle. But I'd be excited about building something else with cytoscape because it's so flexible, versatile... and pretty!
What's next for Gift Exchange Block
I have a few ideas for more features: allowing you to specify a list of records for each record (via another link field) to never match to (similar to the group constraint, but it wouldn't have to be symmetric), or extending to allow matching between the same group of people in multiple years (it sucks to get a present for the same person 2 years in a row!).
Built With
airtable
animate.css
cytoscape
javascript
react
Try it out
github.com | Gift Exchange Block | Organize a gift exchange with your family, friends, or coworkers! Automatically assign records to each other so that everyone gives and receives one gift. Visualize the match and manually edit it. | ['Kate Rudolph'] | [] | ['airtable', 'animate.css', 'cytoscape', 'javascript', 'react'] | 105 |
9,978 | https://devpost.com/software/spara | Inspiration
Healthcare workers put their lives at risk every day to save ours.
42% of all infections and death globally have consisted of elderly patients and their staff. With fever being a symptom in 89% of cases, elevated temperature has become one of the most important measurements hospitals take to assess staff health. However, after talking to almost a dozen healthcare leaders from around the world, we found that many hospitals to do not have a way to protect the health of their staff despite them being at high risk of contracting COVID. Staff have to sign paper affidavits which is time consuming, and hospitals hire others to screen their temperature a daily basis which increases risk on all fronts. Sometimes staff are so busy taking care of patients that they can be running a fever not know until 10 hours later.
This creates a significant number of potentially preventable infection situations that puts patients, coworkers, and family workers at risk. The CDC, city, and county governments have all started mandating symptom screens and temperature checks, and organizations are scrambling to hire staff and find technology stay compliant in these new processes. Unfortunately, few end to end solutions exist which creates a deadly game of telephone with critical health data. We created Spara Health to take a completely different approach to proactively managing elevated temperature among staff to reduce symptomatic infections.
What it does
For healthcare providers that don't want unknowingly symptomatic staff infecting patients and coworkers, Spara is a biosensor system that allows healthcare staff and their managers get accurate real time alerts on high temperature without wasting PPE on false alarms and time doing manual checks. Our breakthrough platform prevents the spread of COVID-19 with the following:
Collect health data from contact-less, staff-less thermal camera kiosks
for screening for both visitors and staff. We've developed the first enterprise, cloud based thermal check in system for health care facilities that reduces staff screening time by up to 50%.
Continuously monitor accurate temperature.
Early detection is valuable because the earlier elevated temperate gets detected, the earlier both the person can be isolated and fewer exposed others. We will import from two established device manufacturers with clinically proven, EU FDA approved biosensors which are Fitbit-like wearables that come in two form factors: a single Airpod-like lightweight earpiece, or a thin silver dollar shaped disc that can be worn on a chest strap or clipped into a bra. These wearables are synced to mobile devices.
The Spara mobile app
makes if simple to for healthcare staff to do their daily symptom check, and is configured to make vibration alerts if the wearable senses a high temperature.
Alerts get pushed to a desktop application
that allows administrators to effectively track team health and proactively manage staff risk with an all-in one web dashboard.
How we built it
The team comes from a variety of backgrounds and were able to combine experience, AI, IOT, mobile, and desktop in order to bring the solution together.
Challenges we ran into
We were surprised to see the complete lack of solutions for organizations to protect staff worker health. Part of this involved the challenge in architecting a solution that trekked across wearables, mobile phones, tablets, and desktop environments. Many out of the box platforms low code platforms did not have IOT integrations so we developed the mobile solution natively. We had to collaborate closely in order to ensure that the solution made sense.
Accomplishments that we're proud of
The team was able to combine very different backgrounds and listen to potential customers to make a solution we're really proud of and will make an impact.
What we learned
Alot of other solutions are going software only, and the added work of IOT integrations is not easy. However, we found that subjective feedback and qualitative information isn't enough to keep people safe, which is why the sensors are so important.
What's next for Spara
Healthcare is just the beginning. We see applications in government, military, essential businesses, and schools when they reopen. We will be raising funds to import the wearables from established manufacturers and are looking for advisors in the logistics and medical IOT space.
Built With
ajax
bootstrap
chart.js
css3
google-maps
javascript
jquery
mysql
php
Try it out
github.com | Spara | Saving health worker lives with AI-powered biosensors | ['Hazel Mann', 'Arundhati Kurup', 'Aneri Shah', 'Akankshya Patra'] | ['Gold'] | ['ajax', 'bootstrap', 'chart.js', 'css3', 'google-maps', 'javascript', 'jquery', 'mysql', 'php'] | 0 |
9,978 | https://devpost.com/software/footsteps-43f1rm | GIF
add activity
GIF
homepage
GIF
view / edit activity
Inspiration
After interviewing friends and family members working in the front lines in the fight against COVID-19, including doctors and contact tracers, we realized that we could add the most value by helping with contact tracing.
Contact tracing is an effective way of containing the virus but is very manual and time-consuming, and requires significant human capital. Our objective is to improve the efficiency of contact tracers, by having people proactively record their own activities and in the event they get sick, share the information with contact tracers.
What it does
footsteps is a simple yet effective way for people to record interactions, in real time. Our users record only necessary information: time, date, location, and participants. If they become sick or come in contact with an infected person, our users would share their activity summary directly with contact tracers, as they control their own data.
How we built it
Collected feedback from friends and family working in the front lines
Brainstormed ideas and did research on existing solutions
Created user stories
Whiteboarded designs and UX components
Conducted daily standups to review progress, prioritize work, and identify next steps
Created an MVP
Continued to iterate on the MVP and added "nice-to-haves"
We began by tackling the areas that we were most unfamiliar with: Calendar and Authentication. We were able to quickly understand what was possible and what was not possible. We also built a rough draft of the front end and created the models and some initial back end routes. Ana and Nadine were working collaboratively throughout the process, with Ana focusing on the back end and Nadine focusing on the front end. Leila brought the team together at daily standups, where we reviewed functionality and identified enhancements.
Challenges we ran into
Challenge 1: Ideation
At first, we wanted to help small restaurants with managing their queues and in-person dining as they begin to reopen. However, we realized that existing reservation and wait time systems already solve this problem. After speaking with healthcare workers, we saw the greatest opportunity as contact tracing
Challenge 2: Secure Authentication
We tried to set up authentication using passport but then realized that cookies would be a simple but effective method
Challenge 3: Calendar Integration
We spent time searching available calendar APIs but realized that our product was more of a sophisticated list that needed month / day information so we pivoted to starting with a list view and bringing in the date components that we needed
Challenge 4: FourSquare Integration
We spent time looking into using FourSquare's location data in our location field. Long term, we are hoping to connect location with contact information so that a contact tracer could easily call a restaurant, for example. The challenge is that FourSquare requires lat,long coordinates, which would mean we need to store lat, long coordinates for users or ask them to share their location. Given our initial focus on privacy, we did not want to track location
Accomplishments that we're proud of
Came up with an idea that will help contain the spread of COVID-19 as cities reopen
Applied new skills to building a simple product that solves a real-world problem
Developed an MVP website in <2 weeks that works on laptop and mobile!
Created views that look like the mockups we designed
Built secure authentication and required only minimally necessary data from users
What we learned
This project reiterated the importance of keeping the end goal in mind and referring back to our original designs, when a given approach was not working. We learned new technical skills, including how to build secure authentication, work with calendars and dates, and validate data. We also learned how to think like entrepreneurs and work as a cross-functional team of engineers and a product manager.
What's next for footsteps
We will add a few new features to footsteps, including an exportable list of activities that feeds a template email and a FourSquare integration for locations and contact information
footsteps will be launched as a public website. We will share the website with friends and family to beta test before sharing broadly
If the beta testing goes well, we plan to advertise more widely to individuals through ad campaigns on social media, and to restaurants and stores through email, encouraging them to advertise footsteps in their places of business, with the value proposition that footsteps adoption will increase the likelihood that they are alerted, if recent visitors test positive for the virus
If we gain momentum, we will: 1) launch a mobile app, 2) get the app approved by the appstore, and 3) contact the CDC, which is actively evaluating digital contact tracing tools, for consideration
Built With
axios
bcrypt
bootstrap
express.js
git
github
heroku
javascript
moment.js
mysql
node.js
react
sequelize
Try it out
github.com
track-footsteps.herokuapp.com
medium.com | footsteps | footsteps is an easy and secure way for you to record the places you go and people you see. If you get sick, you can quickly share your recent activity with trained contact tracers | ['Leila Bushman', 'Nadine B', 'Ana Medrano'] | ['Silver'] | ['axios', 'bcrypt', 'bootstrap', 'express.js', 'git', 'github', 'heroku', 'javascript', 'moment.js', 'mysql', 'node.js', 'react', 'sequelize'] | 1 |
9,978 | https://devpost.com/software/covidcare-x40ch1 | COVID Care Web Dashboard for Doctors
Landing Page for COVID Care to download the app
Logo
Introduction
Covid Care is a mobile application developed to assist individuals' health care during the COVID-19 pandemic. The app provides medical advice , opportunity for online consultation with doctors, and daily health monitoring through the self-assessment features.
Features:
*Monitor Health:
-Input Body Temp
-Input Heartbeat (try to include this in-app)
-Input Energy Level (manual modes)
-Input other symptoms felt (cough/ sneeze/ dizzy)
*Treatment Guidelines:
-LiveChat Consultation with Doctors
-Priority can be implemented in deciding which users to treat in the hospital and which users to treat at home (triage).
-When necessary, home kit testing can be delivered to users' homebase with videos available to show how the procedures should be done.
-Meds prescription can be given by doctors and give options for users to order online by giving whatsapp number / phone number of pharmacy (we can use google map to help track the closest pharmacy for the user)
*Provide Emergency Call for ambulance ( with symptoms shown i.e. passed out/ temp>39’C)
Purpose & Motivation
The Growing popularity of Rapid Test to detect Covid-19 cases in different countries and regions have received numerous positive as well as negative feedback from different parties. With false negative and false positive results given, many started questioning its reliability in detecting the virus accurately. However, as it provides the quickest and relatively cheaper option compared to alternative lab test methods (Swab/PCR test) it is by far the most popular option for many individuals.
Hence, our team is motivated to create a mobile app that will help reduce the risk of false rapid test results by providing a well-rounded care for individuals within their homebase to help monitor their health, provide quick guidelines and actions for preventive and curative treatment of Covid-19 cases as well as to ensure that they have adopted healthy habits.
How this application works
The application connects people with doctors and hospitals. People who have tested positive for COVID-19 or show symptoms for the same can use the mobile application while doctors and hospitals can provide remote care via the web application. Patients can register themselves by providing basic information about their location, age and medical history. If a patient tested positive or shows common symptoms, they are linked with a doctor according to their location. Patients who test positive have daily video consultation sessions with the doctor while those who are symptomatic can book consultations anytime. In case of alarming health vitals, the doctor is promptly alerted. The app aims to prioritise patient care based on their medical history, age and daily vital trends. The concept app's apk can be downloaded from the
website
!
How this application was developed
The mobile application prototype was developed using Flutter with Firebase. The web application will be developed using ReactJS with Flutter. It will make use of python scripts to analyse daily vital trends, provide statistical conclusions and prioritise patients. For privacy concerns, sensitive user data like their medical history will be stored on the user's phone (making use of local storage) and shared with the doctors only when the user explicitly provides permission for sharing data. We aim to not keep our privacy policy in fine print but make it very clear to the users.
How to use this application
The user begins by entering the login page. If they are new to our app, they must click on the ‘Sign up’ button and proceed to fill in their required contact details and create an account. However, if the user has already created an account previously, they must input their email address and password and enter their profile.
Once they are logged in, they will be directed to the calendar page where they will be asked to fill in their details for the current day. By selecting the present date, they will be directed to the next page where they will be asked to input information such as their Body Temperature and symptoms such as nausea, continuous sneezes etc for the day. Additionally, the inbuilt sensors in the app will measure users Energy level and Heartbeat. While we have not incorporated the sensors in the prototype we submitted, in the upcoming sections, we will elaborate on the sensors which could be incorporated to attain the desired results in the future. After the user inputs all the details, he should click ‘Save’ and this information is stored in the selected date. If the user wishes to view the details of a particular day, they can click on the date in the calendar and the details will be displayed.
Navigating to the Statistics page, the user will be welcomed immediately with a graphical representation of their input on the 3 health indicators; Energy, Heart Rate, and Temperature each represented with the colour green, purple and blue. An overall health status based on those input will also be shown with either High, Standard or Low directly below the graph.
Moving on, if the user has any general queries regarding COVID-19, they may click on the ‘Chat with Bot’ option on the calendar page and have a conversation with the FAQs chatbot. While we have only displayed a prototype of the page, upon developing this app in the future, we aim to encompass a list of pre-defined answers for questions asked by the user. If any question is not recognized by the bot, the questions will be transferred to hospitals which the app has collaborated with and the hospital staff will send them a reply.
Lastly, if the user feels uneasy and displays many symptoms, they can request for a home testing kit which is delivered to the users' home base with videos as to how the procedures should be implemented. They can order this kit by calling the number provided (we plan on using google map to help track the closest pharmacy for the user).
After the test:
a) If the user tests negative and displays no symptoms, they can continue to monitor their general health using our application.
b) If the user tests negative but still shows symptoms, the assigned doctor (who has information regarding the user) can activate the ‘conversation with doctor’ application on the doctor’s app. This way, all information stored in the users’ calendar (their everyday health input) will be sent to the doctors every day for monitoring and the doctor can prescribe necessary medication for the user and allow the user to take a second test.
c) If the user tests positive and shows minimal symptoms, they will be treated similar to how the users above are treated at home. However, if the user tests positive and has a severe case, they will be requested to shift to the hospital immediately.
Priority would be implemented in deciding which users to respond first through the symptoms inputted.
Difficulties & Challenges we faced:
Amid the consecutive stages of planning, creating and testing, we are required to concentrate entirely on the performance, accessibility, user-friendliness, functionality, engaging and security of the app with the goal that target audience can be locked in. With such a significant number of alternatives available in the market which majorly concentrates on helping users cope with COVID-19, we are required to create a unique application which addresses any issue with respect to the virus.
While we didn’t face multiple difficulties when developing our prototype, we came across a few general issues such as a communication gap as the three of us live in 3 different countries with distinct time zones. It took us a few days to brainstorm and come up with an idea for our application. Once we began working on our code and uploading them on GitHub, it was a bit challenging to create a perfect prototype as factors such as the time factor and difficulty in debugging each other’s code etc were overlapping.
Go-to-Market Evaluation
Having government and individuals as our potential customers, we believe that the data we gathered (health trend of users) and services our app supports (online consultation with doctors) will entice both parties to download and use our app as it offers a win-win situation for them.
On the government side, we will share the encrypted data of our users’ health trends for government tracking purposes, i.e. identifying red zones and or assisting them in identifying which area to impose local lock down upon. Moreover, as most Covid-19 treatments are being done in public hospitals, our app online consultation will help the government improve the state’s healthcare operational efficiency as it will reduce the crowd of individuals waiting in the hospitals for the consultation session. When the demand grows, the hospitals just need to add on more servers to ensure that user needs of online consultation can still be achieved. The prioritization queue management can be implemented as well on the hospital system by referring to the symptoms and health conditions users have inputted on the app.
Individuals wise, the application in-built features provides an easy to follow and well-rounded guide for their health during this pandemic. As it is offered complementarity, no monetary barrier exists, making it accessible for everyone.
Built With
dart
html
java
kotlin
objective-c
swift
Try it out
github.com
docs.google.com
manyaagarwal.github.io | CovidCare | Covid Care is a mobile application developed to assist individuals' health care during the COVID-19 pandemic. | ['Manya Agarwal', 'Wisely Natalia', 'Aishwarya Ganesh'] | ['Bronze'] | ['dart', 'html', 'java', 'kotlin', 'objective-c', 'swift'] | 2 |
9,978 | https://devpost.com/software/health-care-o2tsvy | Inspiration
The difficult situation that we, people around us and the people all around the world are in was the inspiration for this project.
What it does
This website Health Care is concerned with educating people with covid-19 in order to help them identify if there is possibility that they are suffering from the virus and in order to educate them about the symptoms and preventive measures. The website has self assessment questionnaire that can be used to measure possibility of Covid-19 and suggestion that they should follow. There is also the visualization of data from John Hopkins University and the list of tabulated data to help people understand the state of this disease in the world
Challenges we ran into
The major challenge we ran into was certainly being unable to manage time in a proper manner. The online classes and assignments had put us on the edge . The availability of large data sources but having difficulty finding the relevance was surely the next challenge.
Accomplishments that we're proud of
Being able to be a part of this virtual hackathon was undoubtedly the major accomplishment for us. Having never taken part in a virtual hackathon of any form so far we are glad that we were able to rejoice this opportunity.
What we learned
Getting to know how virtual hackathon is performed and the do’s and don’ts of working as a team is what we learned being a part of this hackathon.
What's next for Health Care
The next thing for Health Care would certainly be focused on the mental health of people. Though Covid-19 seems to be major concern today, the fact that there is rapid growth in suicide rate and people are slowly being being doomed by depression and other mental issues is not the fact to be ignored. So adding a chatbot to help people cope with their loneliness and story sharing platform would certainly be the next step.
Built With
api.covid19api.com
css
django
html
javascript
python
Try it out
github.com | Health Care | Our idea is to inform about the Corona virus and to identify and a self assessment to identify the infection chance of Corona virus | ['Kriti Prajapati', 'Shreeja Shrestha'] | [] | ['api.covid19api.com', 'css', 'django', 'html', 'javascript', 'python'] | 3 |
9,978 | https://devpost.com/software/the-shelter-coalition | Resources Page (cont)
Resources Page
Donate Page (cont)
Donate Page
Receive Donations Page
Home Page (cont)
Home Page
Inspiration
We wanted to create a destination for people to connect and communicate with shelters. Through our website, we hoped to provide an idea that donation isn't something that should be difficult. By using The Shelter Coalition, users are able to find a shelter in need with little effort. In the midst of the pandemic, people in need are looking for more help than before. The shelters providing for them are working hard and we wanted to contribute to the positive work.
What it does
Our site provides a place for any person to find a shelter to donate to. Any shelter in need can input items that they would like to receive through donations. Once that information is in the database, users can use the website to easily find a shelter and its needs by location. There is also the opportunity for the user with excess of an item to find a location that needs it most. The site is intended to be constantly updated by the shelters we partner with.
How I built it
The base of the site is HTML and styled with CSS. The locators and donation databases were built with Python.
Challenges I ran into
It was difficult to figure out how to help someone find the most convenient shelter for them based off of location and needed items. We eventually created Python programs that helped with that.
When coding the "donation finders", we had to learn how to make an inventory of which shelters are in need of which items through lists and dictionaries.
Accomplishments that I'm proud of
We are super proud of our ability to get this project completed considering the obstacles of being apart. We are proud of the functionality of the site taking into account that only one person on the team had experience with HTML. We were also able to use the internet and learn many new things.
What I learned
Unironically, we learned a lot about the importance of communication during this hackathon. We discovered how crucial sharing direct and accessible information really is through the process of brainstorming our topic, research into different shelters and the current information availability (or lack thereof) on donating, and even just the navigation of five different teenagers’ schedules to find times to meet. These experiences gave us a greater appreciation for the possibilities of improving communication via technology and helped show us that the project that we were making could be really beneficial.
What's next for The Shelter Coalition
We’d love to be able to expand our reach past Philadelphia and into other communities, eventually allowing folks from all over the world to get connected with their local shelters. Additionally, to accommodate for expanding, we would like to create a feature where shelters who are already in the database can edit their wish lists and make a more comprehensive input program so new shelters can enter their name, location and website. The Shelter Coalition has the power to become a really amazing communication platform and extremely useful website for both places in need and those who wish to give.
Built With
css3
html5
python
Try it out
github.com | The Shelter Coalition | The Shelter Coalition is a website designed to provide easy communication between homeless shelters and those looking to give help. | ['Joanna Lin', 'Marissa Shaffer', 'amelia-otto otto', 'Sarah Meigs'] | [] | ['css3', 'html5', 'python'] | 4 |
9,978 | https://devpost.com/software/kindstack | Introduction
KindStack is a prototype application that aims to nurture individual's abilities to recognize reasons for gratitude in their environment and help them express these thoughts better. Through these exercises, we hope to inculcate a positive and vibrant culture amongst people and help them take charge of the their own mental health. We also hope this would serve to prepare them to face the challenges of everyday life with a better outlook and inspire others through their positivity.
Purpose & Motivation
The state of the world as we know it today has struck fear in the hearts of everyone. Experts have noted that if left unacknowledged, the Covid-19 pandemic could lead to one of the largest waves of mental health problems the world has ever faced. Some evidence of this can already be found by the 1000% increase in federal emergency hotlines for people in emotional distress as reported by Washington Post. The numbers are daunting and our systems are not prepared to face it. This stems from the hopelessness people feel in their everyday life in our new reality.
One of the most vulnerable populations to this thought process are healthcare workforce who now have to manage their own fears while placating those of their patients while still warding off the negativity associated with the pandemic in many places. This could leave them feeling particularly uncared for and drastically affect their mental health. In an attempt to address the root cause of the problem, we wanted to give people, especially the frontliners, something to hope for, to hold on, something that would give them a reason to be grateful for the world they live in. This lead to the birth of KindStack, a prototype application that consists of various activities and features that will help express people's gratitude for each other and hopefully bring back everyone's smiles.
What it does
The 3 main features of KindStack are as follows:
Appreciation: In this section, we encourage the users to express their gratitude to other people. This can be done either through the means of sending messages to the person or through purchasing kindness memorobalia and gifting it to the intended recipient. Through a mutual culture of gratitude we hope everyone can realize how much the people in their lives appreciate them through these simple gestures and express the same to the people in their life.
Journal: Gratitude is not only about expressing it to others, but also realizing it for oneself. The Journal section of KindStack aims at imbibing this by motivating self reflection. This includes pushing the users to actively find moments in their every day that they never really internalized gratitude for. Through this repeated exercise, we hope that the positivity stacks up and people feel less burdened by any obstacles they face by realizing there are just as many things to be thankful for.
Meditation: While the Journal section promotes active reflection, Meditation tries to combine a more passive and spiritual approach to the process. It consists of various exercises delivered in the form of audio tracks that guides one through the journey. This is especially useful for those with little time in their hand and in the need of wanting more guidance away from the strains of their ordinary life and helps slowly build back their mental resilience.
Every person on the application will be encouraged to partake in each of these activities as combined they help build a healthier mental self.
How we built it
We started by conducting a user survey of the KindStack app and found that most of our respondents are receptive to the features enlisted about and have attempted in the past to engage in any one of them. We also used the survey results to determine which of our feature subsets we should go with as well as any additional ideas our users thought would fit well into this application. We then spent some time think about the concept map and layout of the application. This included some research into color tones that encouraged positivity and template set up. After this initial brainstorm we iterated through building the prototype using Adobe XD.
Challenges we ran into and Accomplishments that we're proud of
While we did start out wanting a working application, our combined research and application setup left us a little short handed to make a scalable implementation of the project. This is one of our biggest challenges and we hope to address this by bringing the application to functional completion beyond the hackathon. Our team was also new to prototyping which made us invest a lot more time in thinking about all the points to be included. This experience taught us all that goes into the end to end process of bringing an idea to fruition.
What's next for KindStack
We believe kindness and gratitude is something the world is in desperate need of today and hence our work doesn't end here. One of our first objectives for this project will be a fully functional mobile application that can be hosted in both App Store for iOS devices and Play Store for Android devices. We intend to make this scalable by hosting the database on the cloud. We will also be including easy-to-add barcode gratitude messages for individuals that can be accessed near hospitals and other places of work for frontline workers to make it easier for everyone to add messages to them.
Built With
adobe
Try it out
xd.adobe.com | KindStack | Let's grow together in gratitude. | ['Agnes Sharan', 'Jill Quash'] | [] | ['adobe'] | 5 |
9,978 | https://devpost.com/software/community19 | Create a Post
Merced Food Bank Close-Up
Medical Centers & Food Banks
Search Results
Filter
User Profile 1
User Profile 3
Working from Home Tip
COVID-19 Health Tips
Conversation Example
Inspiration
We were inspired by the many suggested topics from this hackathon but collectively decided as a group that this was the most pertinent idea for an app to help during these times in quarantine.
What it does
The app connects those who need items like prescriptions or groceries with users nearby who can retrieve and drop off the items for them.
How I built it
The prototype was built on Figma and we were working with Flutter for the app functionality even though we did not complete it.
Challenges I ran into
We had trouble getting the code to work on Flutter and Dart because it was new to us.
Accomplishments that I'm proud of
I am proud of our team for working hard until the end and taking up a different part whether it be making the video, working with flutter, developing the concept, or creating the prototype.
What I learned
We learned that Flutter is used to develop the functioning UI for many apps.
What's next for Community19
We plan to complete the app and finish the code so it is fully functional.
Built With
dart
discord
figma
flutter
github
gmail
google-docs
google-drive
mov
obs
visual-studio
youtube
Try it out
www.figma.com
github.com
www.figma.com | Community19 | Your Community during COVID-19 | ['Athena Siaotong', 'Tuzette Vu', 'Kacey Su'] | [] | ['dart', 'discord', 'figma', 'flutter', 'github', 'gmail', 'google-docs', 'google-drive', 'mov', 'obs', 'visual-studio', 'youtube'] | 6 |
9,978 | https://devpost.com/software/carryon-k7l24w | Reflect on the insight and swipe to indicate your view
Introduction
The pandemic shows the shortcomings of business continuity planning of many organisations.
Organisations have very little capacity to keep their business impact analysis up-to-date. The common practice is to review it once a year as a tick box exercise.
The world is changing at a faster pace than ever: pandemic, unsettling because of political environments and natural disasters.
Organisations want to wait for official guidance (e.g. from the Governments, WHO, etc.). However, they may not come in-time or fit the situation.
There's too much information on the web. Businesses don’t know how to translate it to policies and measures to suit the organisation. They also have little clue about the effects of the changes they want to make.
Small businesses don't have dedicated teams to perform business continuity planning.
Purpose & Motivation
The Founding team of CarryOn is driven by the vision of making people's lives better by technologies. We would like to help organisations plan ahead and be proactive about business impacts. This would enable more people to benefit from better work arrangements.
How this application works
CarryOn is a tool to enable proactive and dynamic business impact analysis using collective intelligence.
It is comprised of two parts: One-the-Move and Web.
The On-the-Move part allows users to spend 2 minutes a day on some latest trends and insight summary suggested by CarryOn based on the relevance to the organisation and their job functions. Users swipe to indicate their views on whether the subject matter would impact different areas of their role responsibilities. The user inputs are collected across the organisation to form holistic views of potential opportunities and threats.
The Web part shows more insights from a wide range of sources (social media, news, government/official guidance).
Users can see insights, threat mitigation measures, lessons learnt shared by other organisations and contribute to the community in return. Draft policies can be imported and saved alongside other shortlisted insights and learning. Users can adapt this collective intelligence to suit the context of the organisation and apply them in a predictive model to understand the impacts to different areas of the business.
How this application was developed
We used Adobe XD to prototype.
How to use this application
On a smart portable device and computer.
Difficulties & Challenges you faced
We only had 3 days to develop the prototype and validate the market size.
Go-to-Market Evaluation (How will this product be made scalable and accessible to the public?)
We will form partnership with Startup Accelerators and Venture Capital to provide CarryOn to the startups for free.
We have industry contacts that run businesses with very complex operations / supply chain. They are another target group.
Built With
adobe-xd | CarryOn | Evaluate Business Impact at your fingertips | ['Monique Ho', 'Faith Chung'] | [] | ['adobe-xd'] | 7 |
9,978 | https://devpost.com/software/helping-hands-6f5h3b | Sign In page
Feed Page
Volunteer button
Ask for Help
Ask for help submitted
My Tasks
My Posts
Update Profile
Registration
Reset Password
Inspiration
The whole world is going through a tough phase during this
COVID pandemic
. People are suffering due to the loss of their jobs, not being able to perform their daily activities, and some due to depression.
Inspiration comes in many ways. Our motivation for this project is that we want to contribute something to this society.
I know a lot of young minds who want to help people in their community but could not do it due to social distancing measures.
So we bring forward our website where people from within a county/state can post their requirements and any willing volunteer can take up the task to help needy.
What it does
Helping Hands
website allows anyone to register through the website and post their requirements.
For example, I am an immunocompromised person, and going out to buy groceries puts me in danger of contracting the disease. So instead I will seek help through the Helping Hands website and post my requirement there.
Myra from our community is a young college girl who wants to help people in her society. When she logins into our website, she sees the feed where all the tasks from her county are posted. She sees that someone needs help in buying groceries which she is able to do. So will take up those tasks which gets added to her tasks tab.
Now she can communicate with the person who posted the task and help her.
How we built it
We built a website using React as front end, Flask as backend, and Postgresql as our database.
Challenges we ran into
This is the first time to build a full-stack project and we were completely unaware of React frontend and how to establish connections from front end to backend and build a whole project. So learning in a short span of time and building a whole project was a challenge.
Accomplishments that we're proud of
We were able to complete MVP with the necessary features within the deadline.
What we learned
Along with the new technologies that we worked with, we learned that doing a project that we really care about is the driving force to complete a task.
What's next for Helping Hands
There's a lot more features that we are planning to add in the next versions of the project.
Features at present
Feed tab where all the posts can be seen.
Ask for the help tab where anyone can post their requirements within a deadline.
My tasks tab where the tasks you have chosen to volunteer are visible.
Sign in, Sign up, Signout, Reset password, Update profile features.
Features for next release:
Add messaging feature to our website where volunteer can directly chat with the person who posted the task.
Add Volunteer rating features where people can thank the volunteer for their help.
This will encourage volunteers in helping more and gain recognition in their community for their good work.
Complain or blocking members to keep creeps out of our website.
Provide badges for volunteers if they reach certain number of tasks.
Built With
flask
javascript
materialui
postgresql
python
react
sqlalchemy
Try it out
github.com | Helping Hands | Community togetherness made possible through our website during COVID. | ['Kiranmayee Dobbali', 'bhanu preeti'] | [] | ['flask', 'javascript', 'materialui', 'postgresql', 'python', 'react', 'sqlalchemy'] | 8 |
9,978 | https://devpost.com/software/covid-19-resource-chatbot | COVID-19 ResourceChatBot
Why did we choose to build this ChatBot?
It is important to stay informed, especially with the spread of misinformation in social media today. With a chatbot that can be connected to either discord, slack, or any other chat engine, it is easy to give the right information and redirect people to the right resources.
What it does
Our simple chatbot provides the user with either general information or any other resources, such as the CDC website, where to find testing locations and a self-assessment.
How we built it
We built this ChatBot using Java.
Challenges we ran into
We entered the hackathon closer to the deadline, so we were not able to implement all of our ideas into the ChatBot. However, we improvised and made something simple yet also informative. We learned a lot about how ChatBot trees work and how ChatBots, in general, are created.
What's next for COVID-19 Resource ChatBot
We will be continuing to work on this bot after this hackathon, as well! We want to create a bot that takes user input and learns from that input in order to respond with better answers. We also want to be able to create a self-assessment function. With everything done, we would like to be able to connect this bot to discord or other messaging apps so that we can provide accurate information to those who use it!
Built With
java
Try it out
github.com | COVID-19 Resource ChatBot | Need a simple chatbot that provides you with some information about COVID-19? Look no further! | ['Sneha Kafle', 'Winona Patrick'] | [] | ['java'] | 9 |
9,978 | https://devpost.com/software/providing-legit-job-postings-0i6soj | Team
Aerica Singla, Arushi Madan and Arun Venu
Inspiration
COVID-19 pandemic is affecting economies in every continent. Unemployment rates are spiking every single day with the United States reporting around 26 million people applying for unemployment benefits, which is the highest recorded in its long history, millions have been furloughed in the United Kingdom, and thousands have been laid off around the world. These desperate times provides a perfect opportunity for online scammers to take advantage of the desperation and vulnerability of thousands and millions of people looking out for jobs. We see a steep rise in these fake job postings during COVID-19. In the grand scheme of things, what may start off as a harmless fake job advert, has the potential of ending in human trafficking. We are trying to tackle this issue at the grassroot level.
What it does
We have designed a machine learning model that helps distinguish fake job adverts from genuine ones. We have trained six models and have drawn a comparison among them. To portray how our ML model can be integrated into any job portal, we have designed a mobile application that shows the integration and can be viewed from the eyes of a job seeker. Our mobile application has four features in particular: 1) Portfolio page: This page is the first page of the app post-login, which allows a job seeker to enter their employment history, much like any other job portal/app. 2) Forum: A discussion forum allowing job seekers from all around the world to share and gain advice 3) Job Finding: The main page of the app which allows job seekers to view postings that have been run through our Machine learning algorithm and have been marked as real adverts. 4) Chat feature: This feature allows job seekers to communicate with employers directly and discuss job postings and applications.
How I built it
We explored the data and provided insights into which industries are more affected and what are the critical red flags which can give away these fake postings. Then we applied machine learning models to predict how we can detect these counterfeit postings. In further detail: Data collection: We used an open-source dataset that contained 17,880 job post details with 900 fraudulent ones. Data visualisation: We visualised the data to understand if there were any key differences between real and fake job postings, such as if the number of words in fraud job postings was any lesser than real ones. Data split: We then split the data into training and test sets. Model Training: We trained various models such as Logistic regression, KNN, Random Forest etc. to see which model worked best for our data. Model Evaluation: Using various classification parameters, we evaluated how well our models performed. For example, our Random Forest model had a roc_auc score of 0.76. We also evaluated how each model did in comparison to the others.
Further on, we designed an app titled JOB, using Adobe XD. We also integrated a Twilio framework so as to add a system to notify job posters whose job postings may have been flagged. This is because, since our ML algorithm is not a 100% accurate, we would have cases of 'False Positives' wherein a true job posting would be marked as fake. In these times we would want to allow the job posters to challenge the decision by providing evidence.
Immediate impact
Especially during but also after COVID-19, our application would aim to relieve vulnerable job seekers from the fear of fake job adverts. By doing so, we would be re-focusing the time spent by job seekers onto job postings that are real, and hence, increase their chances of getting a job. An immediate consequence of this would be decreasing traffic onto fake job adverts which would hopefully, discourage scammers from posting fake job adverts too. Police departments don’t have the resources to investigate these incidents, and it has to be a multi-million-dollar swindle before federal authorities get involved, so the scammers just keep getting away with it. Hence our solution saves millions of dollars and hours of investigation, whilst protecting the workers from getting scammed into fake jobs and misused information.
What's next for Providing legit job postings
We wish to completely automate the notification system built using 'Twilio'.
Submission info
We have submitted this project to RookieHacks and Oxford Digithon after confirming that cross-hackathon submissions are allowed for the hackathons held over the same weekend.
DOMAIN.COM - Oxford Digithon MLH Challenge
kidsusepickuplinesiusepullrequests.space
Built With
javascript
python
tensorflow
twilio
Try it out
kidsusepickuplinesiusepullrequests.space
github.com | Providing legit job postings | Filtering out fake job adverts from existing job portals | ['Arun Venugopal', 'Arushi Madan', 'Aerica Singla'] | ['Best Isolation Hack'] | ['javascript', 'python', 'tensorflow', 'twilio'] | 10 |
9,978 | https://devpost.com/software/detecting-possible-cases-of-depression | Inspiration
During the COVID pandemic, mental health cases have spiked. The spike can be quantified by the comparison of 37% of the US population showing signs of mental health concerns before the lockdown. However, during the pandemic, this has risen to 49%. The number of suicides per day is increasing during the pandemic by threefold (WHO).
What it does
Our solution aims at detecting cases of depression or other mental health concerns through posts on social media made by users. Our Machine learning algorithm (Convolutional neural network) can detect cases of depression with upto 98.87% accuracy. Key point is, we are not diagnosing, but only detecting a possible case.
Further, if a tweet has been detected to show signs of depression, an automated message will be sent to the user stating "Hello, we hope you are doing well. If you need help with regards to mental health concerns, please contact Smaritans at 116 123. We work 24/7 and are happy to listen."
How I built it
We built this using Machine Learning frameworks such as tensorflow. We coded this is Python.
We built our automated messaging system using the Twilio framework in JavaScript.
Impact
Increased detection of possible cases indicating depression or other mental health concerns.
Preventing lives by timely detection of possible cases of mental health.
Providing right information at the right time.
Challenges I ran into
It was rather difficult for us to code in JavaScript but we managed to do it using various sources of help online.
Accomplishments that I'm proud of
Creating a full fledged Machine Learning model with an automated messaging system!
What's next for Detecting possible cases of depression
We realise that our model has been trained on a very biased dataset. So, we would like to gather a better dataset by scraping live data on broader keywords.
Built With
cnn
javascript
machine-learning
node.js
python
tensorflow | Detecting possible cases of depression | Our mission is to detect cases of depression based on posts on social media platforms through the use of machine learning. | ['Arushi Madan', 'Arun Venugopal'] | [] | ['cnn', 'javascript', 'machine-learning', 'node.js', 'python', 'tensorflow'] | 11 |
9,978 | https://devpost.com/software/deploysmart-evj061 | Dashboard
Mobile Application for Staff
Introduction
Despite 1.75 million cases of COVID-19 in the US and more than 60% of states saying they need emergency health care support that need, 1.4 million health care workers lost their job in April. U.S. hospitals and health systems are predicted to take a $200 billion hit by June. Since labor costs account for a large part operating expenses, hospitals and health systems have to layoff healthcare workers. With fewer providers to care for sicker patients, health care workers are demonstrating high rates of burnout. Burnout in turn has been associated increased medical errors and worse patient outcomes.
There is also a significant disparity of available staff and staff needs. Illustratively, in New York, although it has the second largest number of physicians across the USA, there is a shortage of providers in areas with large populations, with a distribution of staff not aligned with the patient population.
Purpose & Motivation
DeploySmart is focusing on deploying staff smartly to provide the best care during COVID-19 and beyond.
How this application works
DeploySmart benefits hospital systems by streamlining shifts, health care workers by simplifying scheduling, and ultimately patients by ensuring adequate staff to care for them, therefore saving lives. Our platform provides a predictive analytics-based decision making tool for hospital providers, to decide whether they need to source staffing or can outsource their own staffing to units or hospitals in need. The hospital needs are analyzed based on the COVID-19 condition & the hospital capacity.
Our machine learning algorithm works by first identifying hospitals within the same system that needs additional staffing. We deploy staff by calculating a utility score which is based on specialty, shift preference, language proficiency, and individual profiles.
There are 2 core use cases - allowing hospital administrators and CMOs at command centers to view and dynamically allocate staff, with our platform collecting the data together, applying our algorithm and providing a view to the administrators; and to automatically allocate staff based on administrators' preferences. This allows for adaptive resource allocation, learning as the parameters change and updating to provide the best allocation. Health care workers will then receive push notifications to their device if they are redeployed to another area based on their indicated preferences.
Based on our calculation, automation of scheduiling saves hospitals over 20% for scheduling per year, $3.600 per year in saving per staff and increase healthcare quality since it allows additional 200 hours time per staff for patient care.
How this application was developed
We are building the application using Angular and Javascript. Database was developed using SQL. We will be developing the ML algorithm. Currently, our prototype is publicly available in Figma.
Difficulties & Challenges you faced
Our challenge is to get representative data for our use cases, as hospital data is not widely available, Currently, we are using county data to show how our model works.
Go-to Market Strategy
The app will follow tiered-subscription model. We estimate to break-even operational cost in early Year 2 of the business. Our marketing channel would be industry conferences and social media.
In the future, DeploySmart is not only a solution for the health care sector as we move into the new normal way of working but for a wide range industries. Same as in the hospital sector it takes training to move people between insitution, therefore DeploySmart will provide a diversification and offer training to instantly place staffing across institutions.
Built With
angular.js
machine-learning
node.js
predictiveanalytics
sql
Try it out
www.figma.com | DeploySmart | A platform aiming to enable hospital administrators to redeploy health professionals based on predictive analytics of staff shortage between units and hospitals networks. | ['Artem Liebenthal', 'Adriana Viola Miranda'] | [] | ['angular.js', 'machine-learning', 'node.js', 'predictiveanalytics', 'sql'] | 12 |
9,978 | https://devpost.com/software/miia-medical-intelligence-applied | App screens for miia
Overview
Here are some quick links to some of the resources we developed while creating our project:
💡 • Website
📐 • Wireframe
📱 • Prototype
📕 • Documentation
Inspiration
As our population ages we will begin to have a lot of multimorbidities. The aging population will have higher rates of diabetes, hypertension, and other chronic ailments. Mobile health (mHealth) platforms using smartphones have proven effective for monitoring blood pressure, glucose and other health related symptoms. However, applications are not always accessible for the elderly population. Finger sensitivity and mobility can be an obstacle for the elderly as it impairs their ability to interact with apps. Features such as larger font size, high contrast, and text to speech functionality are often neglected due to the lieu of modern design trends intended to appeal to younger audiences.
We designed our app, miia (Medical Intelligently Applied) to be accessible and usable by most seniors. Miia is an application that will help track and manage health conditions for the elderly population. For instance, we implemented a Chatbot function to help seniors input their vital signs. The chatbot can be made to speak aloud, while the senior can utilize their voice which is then converted to text. The chatbot can also ask questions to monitor symptoms and mood to screen for infection or depression, respectively. Furthermore, our app will track mobility and activity functions of our users through drawing data from the built-in accelerometer, gyroscope, and other smartphone sensors. This will help us predict activity level and potentially prevent frailty and traumatic falls with seniors.
How to use miia
Miia can be used through entering
https://miia.me/
and signing in with gmail or by creating a new account. Once you've logged into miia you're greeted by the main dashboard that provides an overview of your profile along with several different tabs. Here users can chat with miia, sync wearables, and receive diagnostic reports from health checkups. Current functionality of the application is limited to conducting conversations with the chatbot while also completing facial recognition scans that detect mood and BMI.
Nonetheless, our current figma prototype serves as a better representation of the apps final functionality and design.
In contrast to the web application the prototype is developed for mobile devices to better serve the elderly through prioritizing convenience and mobility. The prototype itself is fully interactive as users have the ability to click, scroll and drag through both caregiver and patient interfaces.
What it does
The system leverages AI technology to analyze data collected from facial recognition, speech recognition, wearable devices and/or IoT on a daily basis, and alert the caregivers if there is any identified risks. The platform also provides a way to facilitate communication between caregivers and care recipients, while aiding with health management to alleviate caregiver stress.
Main features
Health data collection
We ensure the health data collection process is easy to follow by having the whole health check up process guided by our AI chatbot miia, which include the following:
Facial recognition - facial image taken for analysis of cardiovascular diseases risks, emotions, BMI and etc.
Speech recognition - speech recorded and analyzed for emotions and mood
AI chatbot - collect health data unavailable in facial and speech recognition/ wearable devices
Phone sensors - detection of fall
Wearable devices/sensors - measurements including but not limited to blood pressure/ heart rate/ sleeping pattern/ activity
Elderly focus design
Voice control - elderly users can choose to interact with chatbot by voice or text
AI Chatbot to stimulate human interactions
Enlarged text and other accessibility features
Reminder system - visual and sound alerts can be snoozed until the elderly login and complete the health monitoring daily
Data visualization for caregivers
Data analytics dashboard - show key metric of elderly over one month
Detailed health reports of elderly - details of each health parameter
Alert system for identified issues - caregivers can set threshold values according to elderly's condition; red warning symbols and notification pop up when value above/ below normal
App Guide
Caregiver
Signs up in the app and makes a profile for both themselves and their care recipient.
After choosing the caregiver option, they will set up an account with their email and phone number, and set a password.
Then, the caregiver will add the patient’s name and phone number.
They can then add the pre-existing medical conditions of their care recipient. In this case, the preset conditions are common chronic diseases but there is also the option to add more conditions and background information.
The caregiver can choose important metrics to monitor for certain chronic conditions, such as blood sugar level for diabetes, or mood for depression.
After adding the background information for the patient, a unique pin will be generated for connecting the caregiver with the care recipient.
A confirmation screen will also show the patient’s conditions and metrics to follow.
If there are multiple care recipients, the caregiver can add another patient.
On a daily basis, caregivers log in and monitor health of care recipients, the most important metric on display. The red notification symbol indicates a warning that requires caregivers to follow up on a metric.
In the patient profile, the caregiver can change or add more metrics to monitor, chat with the patients, or edit the patient profiles.
Elderly/ Care Recipient
Care recipient received a text message from the caregiver with his/ her unique pin. If a senior is unfamiliar with technology, the caregiver can help him/ her to set up the app.
Choose to sign up as a patient, and enter the pin received.
Our chatbot, guide seniors through the whole health checkup process on a daily basis
The patient can choose to text or speak to the chatbot.
Miia will proceed to initiate the process of health check by taking their facial image
Miia will first ask a few questions regarding their physical and mental health, such as body temperature, blood pressure, or mood and the senior can input manually or tell miia their measurements. For voice inputs, Miia will repeat the measurement to verify.
Depending on the needs of the senior and caregiver, the chatbot can also ask about other metrics, give reminders, or chat with the senior.
After health check, users will be redirected to a health overview which summarizes results for the senior.
Key metrics of seniors are shown in measurements. If the user is interested in knowing more of a particular metric, they can click the metric and look into the details.
If seniors have any concerns, they can contact their caregivers using the in-app chat function.
If desired, they can also choose to add or remove wearable devices and sensors.
Lastly, they can check their profile, which shows personal information, settings and caregiver information.
How we built it
Software
• Frontend Dev using Angular, FireBase Authentication.
• Node Libraries Likes charts.js PWAs, BootStrap, Material Design, etc.
• Hosting and CICD setups using Netlify and Heroku and GitHub.
• Domain and SSL certificate from Namecheap and Let's Encrypt.
• SQL DB connected to the app with Restful API.
• Google Colab notebooks to execute heavy GPU workloads and ML Algorithms.
• Invision for developing WireFrames
• Figma for creating final prototype
• Slack for Internal Communications & Google Drive for Documents, Images, etc.
Machine learning
We collected datasets from varies sources such as Kaggle, JAFFE and IMFDB and trained the machine learning model for a couple of tasks: the identification of emotions from facial expressions, identification of BMI from face images, identification of emotions from speech, and detection of falls from phone sensors. Determination of cardiovascular disease risk is also achieved by reviewing cohort studies and results in medical journals. After training the model, we deployed a demo of the emotion prediction model, BMI prediction model, and cardiovascular disease risk using Heroku service.
Challenges we ran into
It is difficult to find quality labelled data for training machine learning models, which in turn affects the accuracy rate. Given that this is a remote hackathon, we were also unable to test connection with wearables. While there is flexibility to use the app without external sensors, we plan to integrate with multiple wearable devices and platforms in the future.
Market Evaluation
To facilitate the adoption of our technology, we plan to target caregivers (B2B) as our primary target demographic. Currently there are 34 million caregivers for the elderly in the United States, with 5 million of them being long distance caregivers. Our goal is to introduce our product, while increasing our adoption rate, and thus solidify our application as an essential tool for caregivers worldwide.
Currently miias distributions channels will be limited to mobile app stores found on both android and ios devices. In later iterations miia will transition to being available as a web application for desktops.
Our go-to-market strategy during distribution will include a combination of freemium and viral approaches. This in-turn provides us with financial incentives for early adopters, who are able to take advantage of the 2-month free trial while having the ability to subscribe later. We’d also like to introduce a referral system where users are able to promote our application while being rewarded for successful signups. In addition to this, we aim to partner with health organizations (clinics/ hospital/ national health insurance) alongside deploying through-the-line marketing tactics in order to enhance customer reach and maximize customer acquisition.
What's next for miia!
App Development
Health data collection via speech recognition and wearables
Data analytics dashboard
In-app chat
Wearables
Water-proof watch for seniors
Water-proof necklace for seniors
Recruitment
We are planning to bring the project to the next stage. Shoot us a message if you're interested!
Built With
angular.js
cicd
figma
firebase
github
invision
ml
netlify
pwa
python
Try it out
www.figma.com
github.com
github.com
emotionpredict.herokuapp.com
bot.dialogflow.com | miia - medical intelligence applied | Digital health solution for elderly and caregivers | ['Ava Chan', 'Rohail Khan', 'Alice Tang', 'Billy Zeng'] | ['Best Designed Hack'] | ['angular.js', 'cicd', 'figma', 'firebase', 'github', 'invision', 'ml', 'netlify', 'pwa', 'python'] | 13 |
9,978 | https://devpost.com/software/mask-i | GIF
Testing (Check out the LED that changed based on mask status)
Raspberry Pi
Similar outline to what we are using
Responsive web interface
Native web interface
GIF
Training
Loss
Accuracy
Logo
Inspiration
Earlier this month, countries announced the reopening of most of their essential businesses. Despite this news, we have seen an uptick in cases of COVID-19 due to a lack of enforcement around the proper guidelines surrounding workplace protection.
What it does
The intended goal of the application is to distinguish if a person entering a designated area is wearing a mask. The camera will detect with high confidence whether a mask is detected. If a mask is detected, a light installed outside of an entry point will flash green and the person is allowed to enter. If not, the light will flash red and prohibit entry. This serves to prevent those without the proper facial covering to set foot into your place of business and can greatly limit the risk of infectious spread.
How it works
This application works by using a Keras Tensorflow model which we created to classify whether or not a person is wearing a mask. It returns a confidence value which is then used to specify whether or not the green or red LED goes off. The LED is representative of a lock for a business entrance. We then stream this video feed to the localhost. Our react frontend utilizes this video stream to display it accordingly to the user. The react app is also hosted on the localhost which prevents any data breaches from outside users. Also since it's on the localhost any user can access the site from their device as long as it's connected to the same Wifi as the Raspberry Pi.
The application can be used for both commercial or personal purposes. To start using the application, you will need access to one or more cameras, depending on the number of entry points you would like to cover. Once you’ve installed your camera(s) at each entry point, the user creates an account on our website. For commercial businesses, there will be two types of users - employees and administrators. Administrators can change settings. Both administrators and employees can view a log of all events.
How we built it
Deep-learning Model
The AI model is built using a convolutional neural network design with TensorFlow. We were able to train it with up to a 97% accuracy
The original dataset is prepared by
Prajna Bhandary
and available at
Github
which provides sample sets of simulated masked face images. So far the model was trained for only 20 epochs using a batch size of 35. We plan to train our model with additional datasets to increase its accuracy when dealing with other factors for example people with different colored masks and different shaped masks. The training history can be seen in the following graphs:
The model has achieved an accuracy value of 0.9746 on the validation dataset with 20 training epochs
Frontend
The frontend was built with React using the Material UI library. It contains setting to change the video setting and an activity log of when the camera picked up a face.
Backend
The backend was built with Nodejs/Expressjs using MongoDB. This implemented to help keep track of users activity logs and authentication but is not being utilized not because of the security risk a live backend brings. We've decided to keep things local instead to protect the integrity of the system.
Raspberry Pi
The Raspberry Pi backend code was built with python3 OpenCV and flask. Opencv utilized the webcam attached to gather facial data that comes from the facial recognition system. It is then passed through the AI model which returns its prediction. At this point, Flask is used to stream the video with the highlighted face that was scanned and a prediction around their face to the localhost.
Challenges we ran into
(Ian)
One of the main challenges was creating and training the Tensorflow model, being I've never worked with AI or deep learning in any way this was a huge change for me. The Second main challenge was getting all of this to run on a Raspberry Pi. Getting the model running on the Pi was probably the hardest out of all the parts. In the future, we would like to use Tensorflow Lite to run our model which will help things run smoother. We are in the process now of implementing it but haven't finished yet.
In the end, I learned a lot about TensorFlow and running it on a Raspberry Pi
Accomplishments that I'm proud of
Building my first custom model
Streaming my custom model with Opencv to a flask server
What's next for Mask-i
Updating the Pi to run Tensorflow Lite
Build more functionality with the frontend and the webcam settings
Re-train the model using other datasets to help improve its predictions.
Built With
express.js
flask
keras
material-ui
node.js
react
tensorflow
Try it out
github.com | Mask-i | Using deep-learning to distinguish if a person entering a designated area is wearing a mask. If so keep the door unlocked, if not lock the door. This will help enforce new face mask policies. | ['Ian M', 'Victoria Jane', 'Bryan Borgesano'] | [] | ['express.js', 'flask', 'keras', 'material-ui', 'node.js', 'react', 'tensorflow'] | 14 |
9,978 | https://devpost.com/software/medisound | Purpose & Motivation
During the COVID-19 situation, it makes us realize the risk of getting infected while you stay at the hospital and the struggle of the elderly and visual impairment who living alone. These people have to take care of themselves and it becomes harder when they get sick. Some of them have a hard time when taking medicine, they can remember when they have to take it and which medicine they have to use. The most important thing is the risk of misuse medicine which can cause non-compliance or taking an overdose. Finally, it can lead to a serious health issue.
How this application works.
An application will tell the information of medicine description and caution from “ya and you website” and show it in the form of Thai sound. This app also reminds the time to take medicine and keep the medical record in your profile.
How this application was developed.
We will develop our application on android and iOS platform because it easy to access when compare to web app. Moreover, the design of UI/UX is suitable for our user by make it clean, easy message to understand with simply icon. The information of medicine instruction and caution were scraped from trustable website in Thailand then change all text information to Thai sound. We set the reminding time by ask user to fill information of medicine description by themselves and it will remind them when they have to take a medicine and how is it look like such as tell the color of medicine pill or its packaging.
Difficulties & Challenges you faced
The efficiency in processing text to speech by using Vaja API software.
The efficiency in detect medicine name on its label.
The method to get the information of medicine from its commercial name.
The method to automate filling medicine information for reminders.
Method to make a partnership with hospital and drug store.Method to implement this system to individual hospital and clinical system.
Pateint information security.
Go-to-Market Evaluation (How will this product be made scalable and accessible to the public?)
For the first period, we will let our users use this application for free to get the customer base. This will help us to get the information and can develop more features in the application. After we gain more customer base, we will cooperate with the hospital in Thailand to help them develop the hospital system. Our application can join with the original hospital system by adding more functions and can reduce the workload of pharmacists on dispensing prescriptions. Income will be getting from our service with helping on develop hospital systems with our application which will get around 300$ per year depend on service that hospital need.
Built With
firebase
react-native
typescript
vaja
Try it out
xd.adobe.com
github.com
github.com | Medisound | Medisound creates a New normal for dispense prescription by help all patient receive correct information of medicine description and caution in from of Thai sound. | ['sakonwan makvipat', 'Rizky Andre Wibisono', 'Sutthikarn Chernsiridumrong'] | [] | ['firebase', 'react-native', 'typescript', 'vaja'] | 15 |
9,978 | https://devpost.com/software/covid-19-help-app-rz32mo | application logo
Inspiration
All over the world, the spread of the pandemic is a persisting problem. As we saw people of all ages are affected by the problem specially older people, and people with pre-existing medical conditions (such as asthma, diabetes, heart disease). In addition, governments have to deter the spread of fake news that is making it harder to flatten the curve.
That's why
the best solution until now is tracking the virus, keeping the citizens aware by updating them about the current situation and finally improving their behaviour to respect social distancing
.
What it does
CovHelper is a mobile application (implemented on both Android & iOs) with
2 versions
one for
citizens
and the other for
medical establishments
.
The application will help the government to
improve citizen’s behaviour, keep the user updated and safe by tracking of the user status ( by adding daily symptoms: his symptoms will be available only for hospitals so we can contact to have a test if needed ) and his contacts (who is infected and who was in contact with the victim) and last but not least allows the user to consult a list of nearest hospitals and donate to organisations and funds raised to defend COVID-19 outbreak
.
For the version designed for medical establishments a medical assistant will be given an account to sign in and update positive tested cases. For citizens they have the ability to register and sign in.
When registering, the patient answers a collection of questions (the list can be modified dynamically). The answers of each patient will be saved in the database and an algorithm will automatically order the list of patients from most critical or urgent to least critical. This algorithm will be defined with a CORONA specialist.
The responses will also allow us to have a list of the people the patient has contacted and their family members. The questions differ
depending on the case, whether you come from abroad or not
.
Once connected, you can consult the Dashboard, where you can check:
• Your status and Old Symptoms ( these symptoms will be available only for hospitals so we can contact to have a test if needed )
• Add new symptoms
• Volunteering (helping around)
• Make a donation
• Quarantine counter
• News: Just display news related to Coronavirus (title contain Corona)
=> depending on your localisation country and the language you have chosen these news will be dynamically updated The api we have used to get news is
https://newsapi.org/
because
it provides verified news
• Trackpad: The user ca check his status if he’s infected by the virus or not who infected who and who encountered an infected
How we built it
The application will be ready to launch within two weeks so that we can catch up and track the virus all over the world.
The application is available with
English, French and I'll soon add Arabic
to ensure everyone can connect within the app.
CovHelper is developed with
react native
to make sure we get the application as soon as possible on both android and iOs devices. We used material design for modern UI framework.
Apis will be developed using
Firebase
, we thought this will be the fastest way to do it.
We used different APIs to get data such as
NewsAPI
and Postman apis.
Updating a patient status is only entered by the medical establishments, this will approve the authenticity of the app and prevent false positives or self-reporting, which might lead to falsification of records.
Checkout app presentation with different views
here
Challenges we ran into
• Add Location
Check coronavirus victims’ position :
For iOs it is possible to get a notification when the location did change, this will be enough for us. When location did change, we will start a call to the API telling the server that our position did change.
For android, if we keep a notification of our application no dismiss-able, we can keep asking for location. This does fix the problem too.
One last problem for iOs, if our device restart, the user need to restart the application to make sure we are requesting location again. We don’t have this problem for android because we can use on Reboot broadcast receiver to make sure we restart our service every time we restart the device.
Accomplishments that we're proud of
We are mostly proud to contribute in the developing a solution that will reduce the spread of the virus throughout the country while finding a vaccine to cure the pandemic with the tracking method. It will improve awareness and help medical stuff at the frontline in order to keep everyone healthy.
We specially appreciate the wide range of offered resources, the freedom in making your work plan and the overall
friendly atmosphere
.
We are able today to apprehend projects with a
good perspective
and to
propose adequate solutions to the issues addressed
and we are really thankful of that.
- Winner in the #AfricaVsVirus ( 3rd in the Community challenge ), a Pan-African Hackathon – April 2020
Organized by the African Development Bank to counter COVID-19 pandemic with more than 25k participants from 54 African countries. We stood third in the Community challenge.
This Hackathon allowed us to get in touch with great minds that's why we decided that everyone still can contribute to this project: designers, developers, idea holders… we will provide open source code for developers just to make sure we all are making a difference.
What we learned
We should mention we were able to encounter great minds from all over the world that really care about this crisis. We had the chance to
exchange ideas, motivate each other ,learn from one another and make great friends through slack workspace
.
Briefly, This experience helped me sharpen the
spirit of initiative
and even more
boost my taste for challenge and leadership
.
What's next for CovHelper
We plan to get the app
deployed as soon as possible
for that we'll need :
• Ensuring a sustainable cost of running such an app in the cloud storage
• Government entity or public health organisation commission to track data.
• Medical system contribution to update the status of patients.
We also plan to add these features :
• Location :
Consult list of nearest Hospitals :
Localise hospitals nearby so that the user can contact them in case of urgency
Notification :
we send a notification to the user:
o When he enters a new building
o When the distance between the user and a Corona case is < to 100 meters
This application will guide us through this period and even after quarantine just to ensure everyone of us gets back to his normal lifestyle and why not have a better lifestyle.
The app will remain a great tool to donate, volunteer to hospitals and charity organisations and we will allow people in need to post their problems. It will be a platform to give and get Help.
Built With
android
cocoapods
firebase
gradle
ios
javascript
react-native
Try it out
github.com
drive.google.com | CovHelper | a mobile app that tracks affected cases, facilitates donating to organisations, keeps the citizen updated about his status and his contacts status and provides him with verified news. | ['hajer so', 'haythem so'] | [] | ['android', 'cocoapods', 'firebase', 'gradle', 'ios', 'javascript', 'react-native'] | 16 |
9,978 | https://devpost.com/software/gmedchain | Healthcare blockchain supply chain solutions integrating data, IoT & AI to track, and manage life-saving medical products safely.
Typical base station sensor and comms package
Smart Pallet electronics and sensor package
Smart Pallet with sensors and electronics package
Arduino Mega - used at base stations in warehouses and vehicles
BME280 - measures temperature, humidity and pressure, used at warehouse and
MPU 6050 IMU- detects falls, shocks and motion. placed in smart pallet
Raspberry PI with metal enclosure and fan - used as base station in warehouses and vehicles
ESP32 microcontroller used on smart Pallets
rc522 RFID/NFC radio module. used at warehouses, vehicles and smart pallets
DHT11 measures temperature and humidity - part of smart Pallet
HC05 Bluetooth Radio (acts as beacon or transciever on pallets, warehouse and vehicles)
Powerpack for smart pallet (~2400mAh)
Azure CosmosDB backend showing IoT hub data
Azure CosmosDB backend showing IoT hub data (2)
Inspiration
The COVID-19 2020 crisis has put an added unprecedented strain on the global medical supply chain. Millions of people around the world have died because they didn’t have timely access to safe and affordable medicines, vaccines, and other health services. There have been widespread reports of fraudulent production and fraudulent claims of PPE and other critical supplies across the chain.
The medical supply chain is long, costly & multilayered, resulting in a lack of communication, transparency and trust between supply and demand. There are risks that products may not arrive in the right condition at the right locations at the right time.
The current situation is really a broader story about weak supply risk management and lack of governance and integration across the supply chain.
According to the WHO, it is estimated that up to $200 billion worth of counterfeit pharmaceutical products are sold globally every year and 50% of these drugs are purchased online. There are counterfeit medicine cases in every part of the world. Interpol officer Aline Plançon says “there is a flow of products coming from everywhere and going to everywhere, there are so many hubs."
The FDA’s Drug Supply Chain Security Act, part of the Drug Quality and Security Act, was first implemented in 2015 and sets drug and pharmaceutical product tracing, verification and identification requirements and implementation benchmarks that will roll out through 2023.
Similarly, the E.U. is putting the Falsified Medicines Directive (FMD) into action by 2019, requiring drug companies to adopt mass serialization, which encodes drug packages with a unique identifier, like a scannable barcode, serial number or radio frequency identification (RFID) coding, allowing for easy tracking by companies and regulators.
What it does
GMedChain is here to solve the medical supplies and medication shortages and fraud problems with our blockchain supply chain solutions to improve trust, efficiency, and transparency of the healthcare supply chain system.
By integrating Blockchain technology & IoT into the healthcare supply chain ecosystem, we are developing a fully transparent and decentralized platform offering safer, more efficient ways to connect with all medical supply chain stakeholders as well as to track and trace medical supplies.
Our solution provides product authentication to prevent counterfeit vaccines, cold chain monitoring management with real-time data, and advanced analytics to respond quickly and intelligently to market disruptions.
It can track and manage resources at the ecosystem level, which provides greater accuracy and better forecasts, reducing waste and preventing stock-outs, supply-side shortages, delivery time variability, and supply-chain disruptions. Especially in developing countries where no efficient system is in place, and the combination of infrastructure issues could create supply chain dysfunction.
How we built it
IOT demo explanation
The demo hardware prototype consists of a package, a pallet and 2 locations. Each location has an RFID radio and bluetooth beacon enabled base station. In addition, the base stations at the two locations have a BME280 sensor which detects environmental conditions (temperature, humidity and air pressure). A location could be defined as a warehouse, a vehicle, a storage unit or a facility. The pallets are also equipped with RFID radio and bluetooth radio. Each package has an NFC/RFID tag which identifies it and tags the current location. Pallets are equipped with a DHT11 (measures temperature and humidity), a 6 axis accelerometer/gyroscope sensor (detects shocks and falls) and has the ability to connect to other sensors. The microcontroller in the pallet is an ESP32, powered by a LiPO battery pack (~2400mAh). All the sensors in the system periodically send data to Azure IoT Hub, which in turn stores this data on the Azure CosmosDB backend. The data can then be put as transactions on the blockchain and can be viewed by the frontend. In the demo, we show readings being continuously updated to Azure IoT hub, as the package in the pallet moves from one location to the next. The package and pallet location details are also updated at each checkpoints, and each of these is a transaction on the blockchain. A potential smart contract can stipulate certain conditions of safe carriage which can be enforced by having the system automatically detect violations of these conditions as detected by the sensors in the different components.
Accomplishments that we're proud of
We have two customers signed up
What's next for GMedChain
Beta-test with the First Supplier
Work with hospitals to design and refine the UX
Public Beta Launch: Select and roll-out to
Public hospitals & large manufacturers
Scale to hospitals globally through targeted LinkedIn campaigns, media, and word-of-mouth
Scale solution to vaccines and other pharma products
Built With
ai
blockchain
data
html5
iot
Try it out
www.youtube.com | GMedChain | Our solution offers an Industry-focused relationship-first platform, integrating data, smart-logistics, and blockchain to exchange and deliver life-saving medical supplies safely. | ['Muntaser Syed', 'Husein Attarwala, CPHIMS, PMP', 'Derek Bryson', 'Yan He', 'Miriam Dong'] | [] | ['ai', 'blockchain', 'data', 'html5', 'iot'] | 17 |
9,978 | https://devpost.com/software/coronatalks | Giving stats by searching the IP address location
This is How Corona talks to person
Font page
or manually check for different countries within seconds of accuracy
Last part adding some important courses link launched by WHO
Inspiration
There is significant global media attention on the spread of Coronavirus, which has led to justifiable consumer concern about the risks from COVID-19 and an ** Infodemic**. Fears about the risks from this outbreak, and the scale of the public health challenge, have resulted in a significant increase in people seeking information about what to do to protect and prevent the virus.
Consumers are searching online sources for guidance on what they should do. However, not all information is based on sound science. The information void has led to the occurrence of misinformation, misperceptions, and myths propagated by sources that lack the credibility to provide authoritative comment.
Despite the consensus amongst the medical community that there exists no cure for COVID-19, self-proclaimed experts and pundits across a variety of social channels are pervasive and are perpetuating ways to protect against or cure the virus. Everything from consuming bleach or antibacterial liquids in small doses to fearmongering is becoming commonplace.
The misinformation, misperceptions, and myths have the potential to lead to harmful public health outcomes and significantly limit the adoption of evidence-based prevention measures as advised by leading public health experts.
What it does
The aim of CoronaTalks is to provide accurate and credible information to counter myths. It's a Complete website where you get to know all you should know about Coronaviruses (CoV). I also Provided some courses link that is given by WHO itself for our own awareness. It is It will provide the exact statistical analysis of current corona cases in your country according to your IP location and
Main part
Ths website support a
Covid-19 Chatbot
which a trained model to answer all our queries regarding COVID-19 for e.g. can coronaviruses be transmitted from person to person?, Is there a treatment for a novel coronavirus or is there any home remedies?
How I built it
Use Rapid API to fetch COVID stats across the globe
Use Python web framework Flask to build a bot to discuss queries regarding COVID
Use IP Address of user to automatically fetch data of that country.
Accomplishments that I'm proud of
Honestly, see the challenges section. I did not realize how hard this project would be, but I learned a lot about chatbot and I'm proud of creating this of a noble cause.
What I learned
How you teach your machine what you want from them?
Most importantly I learn how to complete your derived project on time.
Integrate your thoughts and come out with something meaningful.
What's next for CoronaTalks
Firstly, I'll deploy this website. Then:
I will add more links to it
2.Adding more features to it
I really wish to complete health bot one day rather than just a COVID bot
try to collaborate with other people so that my project will get a wide perspective.
:)
Built With
api
bootstrap
chatterbox
css3
flask
gps
html
javascript
Try it out
github.com | Corona Talks | IF a person can talk why should you hear the Story from corona itself? | ['Praisy Satpal'] | [] | ['api', 'bootstrap', 'chatterbox', 'css3', 'flask', 'gps', 'html', 'javascript'] | 18 |
9,978 | https://devpost.com/software/covid-mantaray | Inspiration
What it does
COVID-JLab is a grouping of COVID-19 datasets rendered as interactive notebooks within JupyterLab.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for COVID-JLab
Try it out
bitbucket.org | COVID-JLab | COVID-JLab is a grouping of COVID-19 datasets rendered as interactive notebooks within JupyterLab. | ['Warp Smith'] | [] | [] | 19 |
9,978 | https://devpost.com/software/solace-dhry92 | Inspiration
The purpose of Solace is to provide resources for college students to learn effective ways of coping with stress and anxiety during COVID-19. While many issues exist in the COVID-19 crisis, our team felt that mental health has not been brought to the forefront, despite the drastic impacts it has left on people’s everyday lives.
After our team researched extensively regarding the impact on mental health from COVID-19, we discovered common themes, such as depression, anxiety, and stress, among multiple audiences. For example, laid-off workers have reported an increase in depression and anxiety due to COVID-19 (Panchal et al.). Whereas, with healthcare workers, they have experienced stress due to worrying about infecting themselves and their families (Spoorthy et al.). We decided to focus on college students, a user group that we can personally relate to, because we faced difficulties recruiting participants who are out of our reach with the given time constraints.
What It Does
Based on a website, users will be able to access different sets of resources from their respective databases to learn how to manage their anxiety. We provide three different categories, which are “Mindfulness”, “Finances”, and “Staying Protected”. We chose these categories based on our research on what would be most helpful for our audience, college students. There is also a “Hobbies” tab where users can filter hobbies they are interested in, which will generate activities that users can do during the COVID-19 quarantine. By creating an account, they can bookmark resources to their account to refer to later. The website will also provide an interactive feature in the “Time Management” tab that allows users to create and save a daily clock routine.
Regarding how to navigate this website is straightforward. The user is able to access the key features by selecting the tabs at the top right. The home page lays the foundations of what Solace is, what it aims to accomplish, and why. Within each tab, the purpose and features are easily established without being overwhelming. The Resources tab contains 3 subsections, which can be accessed through the same mechanism as the tabs. In each subsection, the user is able to search related content to the topic, resulting in lists of articles that are related to their search keywords. In the Time Management tab, the user is able to establish a routine using a visual “planner” utilizing a clock. Creating a sense of normalcy and keeping a schedule during quarantine is one way to help manage anxiety and stress during this environment.
Moving forward, the final tab called Hobbies, allows users to convert their current hobbies to become quarantine-friendly or pick up new activities that are using their interests. Using the activities that the user has selected as their interests, the page then populates articles that fit the tags. The other way the user can search for hobbies is through the search bar for more specific results. Users have the option to save or bookmark their favorite articles to view later. Finally, users have the option to sign up or log in to access features such as saving routines and bookmarking articles.
How We Built It
We created a prototype of the website using Figma.
Challenges We Ran Into
Due to the time constraint, we were unable to implement a fully functioning MVP for our product, so we decided to create a prototype using Figma to show our concepts and ideas. In addition, we faced some difficulties in trying to produce a website that will solve our problem statement of “How might we support college students who are between 18 to 23 years old with their anxiety during COVID-19?”. Since there are a lot of resources available, we brainstormed ways as to how we can support college students effectively during the quarantine.
What We Learned
Through our research, we learned that COVID-19 has increased the anxiety levels of college students and the proper techniques on how to handle anxiety. In addition, our team discovered how to effectively analyze our audience by conducting a survey. By doing so, we were able to design a website that reflected the needs of our users.
Furthermore, we learned how to work together in a virtual environment using real-time collaboration tools, such as LucidChart, Google Docs, Figma, and Zoom.
What's Next for Solace
Due to the time constraint, we were unable to implement the following features: a personal account dashboard to view saved resources, a way to access bookmarked articles, and a way to access the saved routine clocks. We are planning to further develop the prototype into a working website.
References
Panchal, Nirmita et al. “The Implications of COVID-19 for Mental Health and Substance Use – Issue Brief – 9440.” KFF, 21 Apr. 2020, kff.org/report-section/the-implications-of-covid-19-for-mental-health-and-substance-use-issue-brief/. Accessed on 15 June 2020.
Spoorthy, M. et al. “Mental health problems faced by healthcare workers due to the COVID-19 pandemic-A review.” PMC, 22 Apr. 2020, ncbi.nlm.nih.gov/pmc/articles/PMC7175897/. Accessed on 15 June 2020.
Try it out
www.figma.com | Solace | A space of consolation during this time of distress. | ['Tammy Hoang', 'Satveer Kaur', 'jechoi29', 'Hailey Schauman'] | [] | [] | 20 |
9,978 | https://devpost.com/software/maia-education | Wireframe of Whiteboard Tool
Wireframe of Landing Page
Introduction
Maia is a web application that has reinvented remote learning. Instead of hosting online classes through the traditional layout where participants appear in separate boxes, Maia brings the classroom to life by creating live animated versions of teachers and students. This design brings the liveliness and human connectivity of a traditional in-person classroom to virtual classrooms across the country so that students no longer have to sacrifice the quality of their education when they are learning online.
Purpose and Motivation
We are two sisters who were first inspired to create this product by our mom, a high school teacher for the last 30 years. Despite her best efforts, she has been struggling to get through to students during the COVID-19 pandemic. Remote learning creates a dull, impersonal environment, and even as our mom is screaming, singing, and dancing in front of her camera, her students are unengaged and unable to learn.
There are millions of teachers across America facing the same problem as our mom. Researchers estimate that the shift to remote learning caused students to lose about
a third
of expected learning, which equates to about
$133 billion
lost of the U.S. public education budget. This major setback in learning is especially detrimental to primary school students, as they are the most vulnerable learners. Disruptions to their expected learning now could have a lasting impact on their long term growth and development. This fact motivated us to build a better remote learning solution, so that the 1.5 billion students who have been impacted by COVID-19 may continue to learn through these unprecedented times.
How this Application Works
Maia is an
animated virtual classroom
designed for elementary students to enhance engagement and interactivity in online learning. Teachers and students can create customized avatars that will mirror their facial expressions as they speak. The virtual classroom includes a collaborative whiteboard where teachers can write, display slideshows, and selectively allow student participation. Maia is a fully gamified experience, as students are awarded points for participation and attention at the completion of each lesson. Using Maia’s user-friendly dashboard, teachers can manage assignments, schedule lessons, and track student progress.
How this Application was Developed
The first step we took to build our alpha prototype was to research and write the code for the facial tracking and motion capture tool. This was implemented through computer vision based sensorless motion capture, meaning that users can use an ordinary camera and no sensors are required. After the face is detected, prominent parts of the face are identified using the Histogram of Oriented Gradients (HOG) method to extract features from pixels. After the features are identified on the human face, the corresponding features on the user’s avatar are linked and will move synchronously. More information regarding the technical implementation of this project can be found
here
.
Once this tool was working, we choreographed the facial movements of our animated character by pairing the motion capture tool with Adobe Animate. Next, the character’s legs, arms, and torso were animated by meticulously moving each body part throughout each second of the clip. Although choreographing the motion of the character's body parts was a very manually intensive process during the alpha prototype creation, this process will be automated in the final prototype of the software by using natural language processing (NLP) and sentiment analysis to determine the content and tone of the character’s speech.
After animating the character, the user interface of the web application was designed. The last step required to make the user interface was to design the interactive whiteboard tool. We conducted research regarding how to maintain consistency on a drawing tool when multiple people are simultaneously editing. We also found an open-source API, BigBlueButton, which offers an interactive whiteboard as well as a video conferencing tool. We will use this API in our prototype development.
How to Use this Application
In order to use this application, teachers and students must all create accounts through Maia’s website. Next, teachers can set up classes by sending a class code out to all their students and using Maia’s calendar tool to schedule a recurring class time. At the beginning of the class time, teachers and students will log on to Maia’s web application and join the classroom. Teachers can choose to begin writing on the whiteboard or to upload a slideshow to the whiteboard to present. Students can click their character at any time to raise their hand. Teachers may start a poll, quick, or collaboration at any time. If the teacher chooses to start a collaboration, students will be grouped into breakout rooms where they can have smaller discussions. Once the class is over, the teacher can end the meeting and students will receive a pop-up window indicating how many points they received for their attention and participation in class. They can use these points to buy accessories for their avatar from Maia’s virtual store. Teachers can use the student dashboard to see an overview of their students’ progress, participation, and attendance in each class.
Difficulties & Challenges
The biggest challenge we faced was our tight constraints on time and labor. Since we had a team of only two people, we quickly realized that we had to narrow our scope and focus on the most important aspects of our design.
Additionally, we ran into several challenges while trying to create the facial tracking and motion capture tool. Although we had some experience writing facial recognition code in the past, capturing motion and translating that motion to an animated figure proved to be difficult. We overcame this challenge by thoroughly researching the technical aspects of the development of various computer vision algorithms. Beyond online resources, we contacted experts in this field to learn how they created such projects. Whereas last week we had nearly no knowledge of motion tracking beyond facial recognition, today we are close to the implementation of facial tracking and motion capture in Maia.
Go-to Market Evaluation
Maia’s initial target market is fully online private and charter elementary schools of which there are 38,000 schools that serve 2.75 million students in the United States. We will then expand to fully online public schools of which there are 99,000 schools that serve 50.1 million students in the United States.
We will market this to customers by simultaneously using a “bottom-up” and “top-down” approach. The bottom-up approach consists of first targeting teachers by offering a month-long free demo. Once we have a strong following and market validation through the free demo, we will use a top-down approach to begin targeting schools and school districts in regions where teachers are most passionate about the product. This strategy was chosen since there is a dire need for the product among teachers, which will create a sense of fanaticism around our product. With a strong base of support, it will be much easier to pitch the product to investors and to eventually sell the product to schools.
Our product will be sold at the teacher level, the school level, and the school district level. Teachers can buy access to Maia for their own classes by paying $200 annually. The individual teacher version will not include any analytics or management features. The subscription fees for schools or school districts are based on a tiered model that is dependent upon the number of students being served. This model will be designed so that the software costs an average value of $40 per student per year.
Considering the price per student is $40 and we first target fully online private and charter elementary schools that serve 2.75 million students in the United States, in the first year the original target market will be worth
$110 million
. If sold to 165,000 students, our total earnings would be
$6.6 million
, with a 6% market capture. After 3 years we will expand to target online public schools, resulting in the market to be worth $2 billion. If sold to 10 million students, our total earnings will be
$400 million
, with a 20% market capture.
As we scale, it will be vital to consider the widespread reliability and security of our product. To achieve this, we began interviewing potential future technical co-founders with expertise in site reliability engineering. We will host our service using Amazon Web Services (AWS) and we will use Unity Real-Time Development Platform to host the live animations. Overall, ensuring a safe interface with high quality interactions is of the utmost importance in the successful scaling of our product.
Built With
adobe-after-effects
amazon-web-services
javascript
python
unity
Try it out
maiaeducation.webnode.com | Maia Education | For elementary school students and teachers, we provide an interactive remote learning platform, so they can best engage and collaborate in virtual learning sessions. | ['Allie Wong', 'Allyson Clark', 'Samantha Clark'] | [] | ['adobe-after-effects', 'amazon-web-services', 'javascript', 'python', 'unity'] | 21 |
9,978 | https://devpost.com/software/smart-videos | Plug in
Quiz
Notes
Save Notes
Introduction
'Smart Video' is a browser extension that generates MCQ based quiz and notes using NLP and AI for videos in youtube and other ed-tech websites
Purpose & Motivation
In the midst of COVID-19, the whole world has realised the power of online learning and the impact it can have on millions of students. Be it K-12 or higher education, virtual learning is talk of the town. Although there are plenty of video lectures available online and usage is extravagant, often these lectures can get too long, monotonous and quite frankly, boring! People zone out frequently and lose track of what's going on. They end up rewinding the video and watch again which really is a waste of time.
In this process, there is a lack of feedback; there is no one to test you if you've really understood what you've been listening to. What if there was a mechanism to evaluate the understanding? Also, not every student like to take notes. But all of us need something to refer to before an exam. What if there is someone who can automatically generate notes for you while you concentrate on listening to the lecture in the video?
How this application works
I have built a web browser extension that automatically generates a quiz and smart notes for videos in YouTube and other EdTech websites using NLP (Natural Language Processing) and Machine Learning. A user can self-evaluate their understanding by taking the quiz while watching the video. Each question presents the user with an option to move back to the part of the video from where the question was generated. This will help the user in revising the concepts which they weren’t able to understand when they watched the video the first time.
The browser plugin also generate smart notes and summary for the video. The smart notes also provide meanings and examples for certain key words in the notes so that a user can easily understand the overall content of the notes. User can also click on any sentence in the notes to navigate to the point in the video from where the concept summarized in the sentence is explained.
How this application was developed
I used Angular to build the frontend of the web application and Javascript to build the browser plugin. Backend is built using Python.AWS services AWS Transcriber is used to convert speech to text. We are using python packages such as nltk, gensim and our own Algorithms to automatically generate MCQ based quiz and smart notes from the speech in the video.
Difficulties & Challenges you faced
The process to generate quiz, notes or summary from a video is complex and time consuming machine learning problem. It was a challenging task to reduce the total time taken by this process from several minutes to a few seconds. We were able to accomplish this over the weekend.
Accomplishments that I'm proud of
I consider every aspect of the project as an accomplishment as it was a new learning every step of the way.
What I learned
I was able to explore different NLP libraries, their capabilities and restrictions and also explored different open source and cloud solutions and how to use such already existing solution in our project to improve its efficiency.
Steps to test the project:
Steps to serve flask app(Backend):
NOTE:
Make sure that you have installed all of the python packages/dependencies listed below:
flask, flask_cors, nltk.corpus, urllib, nltk.tokenize, gensim, youtube_dl, punctuator, requests, nltk.tag
Download/Clone the folder SmartVideoBackend from the Github Repository.
cd to SmartVideoBackend folder on your machine and run api.py. This will serve Flask app in development mode.
Steps to download and install the plugin:
Download/Clone the folder SmartVideoPlugin from the Github Repository.
Open Chrome web browser.
In browser's search bar, type chrome://extensions/
In the extenstions page, click on 'developer mode' at the top right corner of the page.
Click on the 'Load Unpacked' button.
Choose the folder 'SmartVideoPlugin/' to install Smart Video Plugin on your browser.
Finally, follow the steps mentioned below to test the project:
Open youtube on your chrome web browser.
Click on the plugin icon next to the browser's search bar. Click on Enable Smart Video button.
Browse an educational video. The plugin will automatically generate smart quiz and smart notes.
What's next for Smart Video
I want to add several new features like the following:
Capture screenshots of diagrams and formulae from the video using Computer Vision and add it to Smart Notes.
Create flash cards
Add analytics to help teachers understand the topics that weren't answered correctly by students.
Add analytics for parents to better understand how their kids are performing.
In smart notes section, we want show links to relevant websites to read more about the central topic of the video.
Generate pre-requisites - add links to learn about most important sub-topics on the video as pre-requisites
Build an app for mobile devices.
Go-to-Market Evaluation
In the next 2 months, I am planning on building a team to create new features and host the backend of the project on a Cloud Platform. I have decided to keep basic features such as auto-generated quiz free until the COVID-19 pandemic ends. Later, I am planning to implement a freemium model with auto-generated quiz, notes, analytics free for upto 5 videos per day. The revenue generated from subscriptions will be used to host the backend services.
Built With
angular.js
gensim
html5
javascript
nltk
python
textblob
Try it out
github.com | Smart Video | Browser extension that generates MCQ based quiz using NLP and AI for videos in youtube and other ed-tech websites | ['Priyadarshini Murugan'] | [] | ['angular.js', 'gensim', 'html5', 'javascript', 'nltk', 'python', 'textblob'] | 22 |
9,978 | https://devpost.com/software/state-covid-19-funding | Inspiration
Shortages of face masks, proper PPE, and other medical equipment is a significant issue not just in the US but also worldwide. In fact, researchers estimate that ICU needs are fifty times higher than the available capacity of beds and ventilators. After browsing through various research articles and journals on covid-19, we decided to dedicate our efforts to finding efficient methods of funding. Through this project, we hope to help communities experiencing shortages of medical equipment such as ventilators, hospital beds, ECMO devices, etc. by distributing funding more efficiently based on the most up-to-date statistics of COVID-19 cases.
What it does
Our website provides users with a visual representation of COVID-19 data for each state. Resources, contact links, and information regarding the validity of the data presented can easily be found on the website. We aim to provide transparent and clear communication with our users who may feel overwhelmed and worried.
How we built it
Our project was built using Netbeans web applications with an Apache TomCat backend server. The backend consisted of Java with htmlunit as the web scraper to consistently gather statistics from various websites, such as Google tracking of COVID-19 and the website for the American Hospital Directory. Java servlets were used to communicate the gathered statistics and display them on our frontend html website. Javascript was also used in our backend to interact with the DOM elements of web pages and in our frontend to power our website.
Challenges we ran into
Throughout our hackathon experience we faced obstacles in utilizing NetBeans servers, webserverlets, and securely connecting to remote networks to gather data. One specific obstacle was trying to figure out why our website was no longer running on NetBeams and appearing in our web browser. After many attempts of closing and opening up NetBeams, and even deleting the HTML and reloading it, the problem still persisted. We decided to see if anyone else on the internet had faced the same problem. After reading multiple posts we figured out that we had to clear the browser cache.
Another problem was finding a way to connect our java code to html. Since we weren’t using the JSP framework, this proved to be difficult since there wasn’t any way to display the raw data we gathered in html. So we decided to use the built-in Java servlets in netbeans. Although they are inherently used for different purposes (to build an html page from scratch), we were able to successfully embed our Java code into our website.
Accomplishments that we're proud of
Finishing this hackathon! We have been working on this project for a while now and it is empowering to see our finished product. We entered this hackathon with little knowledge on the platforms we were using (neither of us used Netbeans before or built a website from scratch) and learned most of the tools we implemented along the way. We are now more familiar with the underlying components of building a website and seamlessly connecting various components of the backend and frontend together.
What we learned
The constraints that we found with the virtual hackathon become our one of sources of innovation. Our team found unique ways to communicate, share code, and edit each other’s work. We also not only learned how to use NetBeans and webserverlets, but also how to help the other person overcome obstacles. The unique situation of the hackathon being virtual highlighted the importance of our team being able to independently share out work.
What's next for COVID-19 Funding
This website is actually based on many approximations on the number of hospital beds available, confirmed cases, deaths, recoveries, etc. We hope to improve the accuracy of the statistics gathered by using a machine-learning model that can accurately predict COVID-19 stats based on multiple websites. Also, we hope to integrate more data into our website so that accurate decisions on the recommended amount of global funding can also be drawn.
Built With
html5
htmlunit
java
javascript
netbeans
Try it out
github.com | COVID-19 Funding | Distribution of funding is one of the most pressing issues of this pandemic. In this project, we focus on gathering and displaying data on the estimated amount of funding for each state in the US. | ['Brenda Henriquez', 'Leela Yaddanapudi'] | [] | ['html5', 'htmlunit', 'java', 'javascript', 'netbeans'] | 23 |
9,978 | https://devpost.com/software/coronanalaysis | . | . | . | [] | [] | [] | 24 |
9,978 | https://devpost.com/software/ownhealth | Inspiration
The COVID-19 pandemic is causing untold fear and suffering for older people across the world.
Although all age groups are at risk of contracting COVID-19, older people face significant risk of developing severe illness.
COVID-19 poses a risk not only to the health of older adults who contract the disease but also the overall wellness of older adults who stayed at home. Older people are experiencing social isolation as a result of not being able to have visitors and not being able to go out and do things with other people. Lack of activity is one of the risk factors for death for this age group. More recent evidence indicates that the presence of long, unbroken bouts is associated with several adverse health outcomes that include weight gain and poorer cardio metabolic health, and these effects decreases with exercising.
We decided to build an emotionally intelligent chatbot to contribute older people's well-being. The purpose is to increase physical activity and give emotional support through sleep, activity and weight coaching for elderly who stayed at home during COVID-19. We use behavior science to transform habits.
What it does
How I built it
React native - to build a cross platform application
Wit.ai - emotionally intelligent chatbot
Pedometer - to track the user's daily activity
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for OwnHealth
Try it out
app.botsociety.io
github.com
readymag.com | OwnHealth | An emotionally intelligent chatbot to change behavior of elderly | ['Neslihan Tuzun', 'Claire Liew'] | [] | [] | 25 |
9,978 | https://devpost.com/software/c-trac-app-for-tracking-corona-hotspots | Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
we all can agree that this pandemic needs to overs soon so as we can meet our loved ones, in order to contain this pandemic, the government is using CONTACT TRACING APPS ( CTAs ). Research says if contact tracing is done correctly it can reduce the number of case 3 folds, then why the number is still rising? , the problem with these CTAs is they only tell whether you have come in contact with an infected person or not, what it doesn't tell us that from where the person caught the infection ( the parent source ). let's take an example if there are two-person 'X' and 'Y' and Y got infected then X will get notified by the current CTAs that he might have got an infection as he came in contact with Y, but it doesn't tell from Which PLACE y got the infection, this is crucial as if we don,t find out that PLACE then many other people who had visited that PLACE may get the infection.
what our project does
Our project C-TRACK 1st of it's kind of reverse contact tracing app, so let me explain how Reverse contact tracing works, whenever the user visits a place too frequently like a shopping mall. then that particular location will be saved inside the app and if in future user found COVID +ve then we can track down that shopping mall, the app will also send a notification to all over people who have visited that exact shopping mall, now health authorities can sanitize and lockdown that specific shopping mall instead of locking down the whole locality. the location stored is fully encrypted and can only be accessed by the user. it also has two additional feature
1.) it sends 'wear mask ' notification when the user leaves then house and 'wash hand' notification when the user returns the house, this small precaution can bring a huge change by keeping you and everyone around you safe.
2.) whenever the user enters a government certificated hotspot or RedZone he will get a warning notification
Challenges I ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) It was hard for us to get in contact with health workers as they were busy fighting an increasing number of patients so we have to talk to retired doctors.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
What I learned
All team members of C-TRACK were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - TRAC App for tracking corona hotspots
our app can be used for a future pandemic or seasonal diseases such as swine flu or bird flu.
Built With
android
android-studio
java | C - TRACK 1st ever reverse contact tracing App | Our app is 1st reverse contact tracing app which locate the possible hotspots from the user location history and also 1st safety awareness system which notify user to ( wear mask ) and ( wash hand). | ['Anup Paikaray', 'Arnab Paikaray'] | [] | ['android', 'android-studio', 'java'] | 26 |
9,978 | https://devpost.com/software/iclassroomserver-ges8dh | Logo
Our-Idea
Peer-Discussion
Digital-Library
Personalized-AI-Assistant
Our-concept
Virtual-Code-Lab
Login
App-Dashboard
App-chat
Task&Project-Management
Task&Project-Management
Web-Dashboard
Web-Videoconferencing
Introduction
iClassroom is an education oriented, virtual classroom concept focusing only on making learning easier and intuitive, providing beyond a real classroom effect. Aiming to make virtual learning easy for both students and mentors, providing a Social media like learning platform with peer to peer interaction.
Purpose and Motivation
Admist the pandemic conditions, learning process have completely become online. To help students and the learning community adapt with the changes and get organised, we present to you the iClassroom your complete learning gadget. A partner to accompany you in your learning journey.
Focusing on Creating a learning community from all over the world that is connected to a single platform making it possible to learn anything, anywhere and anytime.
Features
• Teachers can assess their students and get to know about their learning progress, interact with them through Chats and provide them with the necessary resources. The Project Management section makes this process more effective.
• The Chats Section provided within the app prevents distraction which occurs while using social media.
• Kanban Project & Task management – Helps the student to stay organised, and automatically updates and adds To-do, Doubts asked, Assignments to be completed.
• Virtual Lab – Virtual coding Lab in integration with online platforms, can be extended to include IBM Qiskit for Quantum Computing.
• Live Video Broadcast/Streaming, Conferencing – Easy use, can begin a class with ease and provide the RoomId to peers to join the class. Video is accompanied with an interactive Whiteboard.
• Interactive Doubt Clearing and enhanced tracking of doubts with help from Mentors and well as peer to peer discussion.
How to use this application
People can register with us and login in to the home page, decide how they want to start exploring and can start using the required features easily, learn and interact with your peers.
How this application works
iClassroom is implemented as Web platform for the end user to utilize the provided features of the platform.
Anyone be it mentors or peers, choose the best features for their needs and start learning.
Interact with peers, conduct online classes, explore the resources with digital library and manage your tasks with the help of your personalized AI assistant, track your doubts and get it cleared.
How was this application developed
This application was developed mainly keeping in mind the need for bringing a change in the way of learning, rather than always sticking on to the traditional method of teaching and learning.
Due to the pandemic situation all over the world teaching learning process is completed bound to homes. So, something useful and helpful for both the mentor and student community to cope up with the changes and continue with their educational activities.
Even from homes students should be able to interact with their peers and continue with their learning process. A complete distraction free platform for focusing just on making learning easier and effective.
Even after the pandemic scenario iClassroom can be implemented in physical classrooms to make learning easier and intuitive. With the real time assessment system mentors can always have an assessment on the students learning activities, even when they are not at schools or colleges. The personalized AI assistant will all be of help to students and teachers.
Building a learning community will help one connect with large number of people form around the globe, which will ensure a great reach for availability of learning resources , and also a platform for exhibiting one's skill and getting recognized.
Difficulties & Challenges you faced
Initial testing and server deployment
Code optimization for mobile devices
Go-to-Market Evaluation (How will this product be made scalable and accessible to the public?)
Easy to scale horizontally
People can register and create an account,login and start using the system. Revenue generation will be through premium mode.
Accomplishments that I'm proud of
First Prize Winner of Code19 Hackathon by Motwani Jadeja Foundation
Completed a proof of concept working prototype model
Modifications in Future
• Lecture Recording- Enabling us to go through the classes twice to make concept clear.
• A feed section to update us with latest technologies and also courses chosen by peers, learn about new courses started up by learning groups and communities.
• To help yourself guide and track you in MOOC and other similar courses.
• Integration of NextCloud for File Management and NextCloud Deck for Kanban Project Management.
• Implementing OpenSource Mozilla DeepSpeech for automated caption generation and voice typing.
.
• Integration of apps like slack, Trello, Google Drive.
Built With
c
c++
django
heroku
java
node.js
python
webrtc
Try it out
github.com
iclassroom.herokuapp.com | iClassroom | Learn Anywhere Anytime. An online virtual classroom which focuses on peer learning and doubt clarification by providing a engaging social media like platform to learning communities. | ['Shilpa Rajeev'] | [] | ['c', 'c++', 'django', 'heroku', 'java', 'node.js', 'python', 'webrtc'] | 27 |
9,978 | https://devpost.com/software/my-covid-19-assistant | Welcome Screen
Profile Creation
Virtual Triage
Triage Result
Triage Result
Triage Result
Dynamic Table For Self-Monitoring
Triage Result
COVID-19 FAQ
COVID-19 FAQ
Introduction
My Covid-19 Assistant is a simple android application developed to assist people during the pandemic, providing a virtual triage, advice, and a self-monitoring sheet table.
Inspiration
After observing my family in quarantine get desperate over every symptom of sickness they had, independently if it was an indicator of Covid-19, performing unwise actions after the suspicion or confirmed contamination, and sometimes forgetting to fill in the 14-day contamination table.
What it does
An easy-to-use tool that helps common people by performing diagnostics of the symptoms' gravity and recommending procedures to the users based on the symptoms, relevant information or previously sickness, and isolation conditions. Providing a 14-day isolation diary to monitor the users that had contact with contaminated people, and a faq about the pandemic, as well.
How we built it
Using the Android Studio API and some research about the virus.
How to use this application
First, the users have to answer some questions to create their profile. After, they can freely navigate to one of our two tools:
Virtual triage.
Q: What is it?
A: Consists of a series of questions related to the symptoms and isolation conditions.
Q: What it does?
A: Our algorithm calculates punctuation and outputs the recommended action to the user.
Q: When to use?
A: When the user suspect they might be infected.
Self-monitor table.
Q: What is it?
A: A table in which the person registers relevant information (temperature, symptoms), which could be used later by a doctor.
Q: What it does?
A: Our algorithm calculates punctuation and outputs the recommended action to the user.
Q: Why 14 days?
A: It is the longest time between the exposition to the sickness and the symptoms start to begin.
Q: When to use?
A: When the user has been in contact with an infected person.
Challenges we ran into
We never had made an application or programmed using java or XML, however, we knew other similar languages, so the hardest part was programming an app rather than using the language.
Accomplishments that we're proud of
The fact we could make the structure, and a barely functional application, even though having 0 experience in a fairly short time.
What we learned
The basics of how to make an android application, using the Android API, and programming in java.
What's next for My Covid-19 assistant
Improve the tools created, add minor features, ameliorate the design.
Go-to-Market Evaluation
Although it is not finished, it is a simple project that won't take too long and can be accessed by all android users with at least a KitKat device.
Built With
android-studio
java
photoshop
xml
Try it out
github.com | My Covid-19 assistant | My Covid-19 Assistant is a simple android application developed to assist people during the pandemic, providing a virtual triage, advice, and a self-monitoring sheet table. | ['T K', 'Ronaldo Moura'] | [] | ['android-studio', 'java', 'photoshop', 'xml'] | 28 |
9,978 | https://devpost.com/software/covid-19-voice-assistant-system-95xnk0 | Main application inteface
Do's & Don't's feature(It is just a screenshot of 1 images)
Tracking corona cases in India by moving cursor over the states
Myth Buster Feature(It is just a screenshot of 1 images)
Tracking corona cases in world by moving cursor over the countries
Spread & Prevention feature
Symptoms feature
Inspiration
Since there is no treatment available for covid-19 till now so in order to avoid getting affected by this disease, we have to take all necessary precautions.For that everyone should be aware about this disease.They should know everything about it like its symptoms,how it spread,how we can prevent it and people should know the facts about the myths that are circulating everywhere. so, I thought that there should be some application which have interacting user interface where everyone can get all the necessary information about covid-19 easily.Hence, it inspired me build an app which will serve the purpose.
What it does
It have Following features:
-It can be used to know about corona virus.
-It track live number of corona cases in any country or in any states of India.(By voice command or on Map by moving mouse cursor over the country or states)
-It can be used to know the symptoms of covid-19.
-It can be used to know how covid-19 spreads and what we can do to prevent it.
-It can be used to know the Do's and Don't's about covid-19.
-It can be used to check the fact about the myths that are circulating about covid-19.
-It will send you notifications about symptoms,prevention and fact about myths in regular time interval so, it will keep you updated while you're working on your machine.
How I built it
I built it using python programming language. I also used various open source libraries that are available in python. I also used images which are available on India Government website for awareness.
Challenges I ran into
There were many small small challenges that I ran into like how to run several things simultaneously which i figured out by using threads. Then there was a problem with terminating child threads . I figured out everything by searching solution on google.
Accomplishments that I'm proud of
Actually for me the whole application is an accomplishment because this is my first major project and I worked for days to make it happen. It motivates me to do many more such projects where I can challenge myself.
What I learned
I learned many things. First I learned the libraries to work on this project and while working on the project I learned how to implement threading . The most important thing that I learned while working on this project is that if there is any difficulty or anything which is not working then I should try my best to it figure out on my own by searching it on google or reading relevant resources.
What's next for Covid-19 Voice Assistant System
After this I will look how I can improve this application and what I can add into it so it can be used by everyone easily. I will also be looking forward to do many more projects.
Built With
beautiful-soup
numpy
opencv
pandas
plyer
python
pyttsx3
speech-recognition
threading
tkinter
Try it out
github.com | Covid-19 Voice Assistant System | A Voice Assistant System for gathering information related to the covid-19. | ['MOHAMMAD NOAMAN KHAN'] | [] | ['beautiful-soup', 'numpy', 'opencv', 'pandas', 'plyer', 'python', 'pyttsx3', 'speech-recognition', 'threading', 'tkinter'] | 29 |
9,978 | https://devpost.com/software/zigzag-communication-tool-for-remote-learning | Zigzag
Elements UI
Chatbot UI
Inspiration:
We interviewed many people around us, students and teachers, about how they feel about remote learning and teaching during the quarantine. We found out that they all had one same pain point which is too many messages through different tools from school/teachers. The students would miss out on important information and don’t really know who to ask when they have questions. The teachers feel frustrated having to deliver the same messages over and over again because some students would miss out. With this pain point along with the importance of accessibility to educational resources about Covid-19 guidelines, we decided to create a tool that can help centralize and deliver organized messages in a faster manner for academic institutes.
What it does:
This application has several significant features that differentiate itself from other existing tools:
Chatbots controlled by schools and teachers to send out school/course/Covid-19 information: In the demo video, MSIS Assistant is controlled by the MSIS program to release all information related to the MSIS major and Covid-19. MSIS program manager can store information into this chatbot. Students start with selecting category buttons and then can ask questions right away!
There would be a different interface for school and teacher’s side to manage the content. On that separate interface, schools and teachers can manage the information they send out through chatbots. The information they send out through chatbots would be stored so that students can “ask questions”(search specific information) later on.
Since this application can be easily integrated with school registration systems, students would get assigned to the program and course group chats automatically when they enroll and register. As such, everyone in the same course and program can be in the chats and no one would get left out or miss out on information.
Students can create sub-group chats underneath each course with more organized structure of chats.
Students and teachers can also message one another through private messages.
Files, book lists and calendar can be accessed through the tab on the right .
How we built it:
We developed a working prototype to demo how our product’s core feature works - chatbot. We built this with HTML and React. js for frontend and Python for backend deep learning model. We used Natural Language Processing to analyze the information stored (Covid related information in this prototype) and a deep learning model to analyze and predict with users’ questions to match the most likely answers. For this prototype, we stored the Covid related information in a JSON file. For our next step in future development, we will build a database on the server to store more information as well as build other features.
How to use this application:
When running the backend program of this prototype, please download the JSON file to make sure the program can get the data in the file. You can test the program by asking any questions related to Covid-19. For testing purposes, you can type “no thanks” to kill the program when you finish. To see how the interface works, you can click around the buttons in the frontend prototype to see how this application would look.
Challenges we ran into:
We already had a complete product structure and plan. We also completed the core feature - chatbot. However, our structure is a bit big. In order to complete the entire ecosystem, we would need more team members for backend.
Accomplishments that we're proud of:
We're proud of ourselves that we keep the same passion and momentum to keep innovating and continuously use technology to solve problems. We love this spirit and attitude. This is our second hackathon and we love it! We're proud that we can actually make something to solve problems for the world even though we're only students. We believe that there's no age limit for ideas and innovation!
What we learned:
Through our research and interviewing people, we got to learn more about business models for education technology. In the industry (education technology) that is already good enough, how are we going to differentiate and innovate so that we can get people to use our product? This is something that we spent quite a lot of time thinking about. In the end, we came up with this communication tool idea that we centralize and organize all the communication into this one place and minimize the steps for schools to send out information with excellent user experience interface. Therefore, schools would be willing to pay for/use the system and students would be happy to receive organized information and answers to the questions they ask.
What's next for Zigzag, Communication Tool for Remote Learning:
We have a B-to-B business model for our product. First, we would need to complete building the entire ecosystem. After then, we would first target collaborating with colleges. We would offer the colleges with configuration plans to integrate for faster communication. After colleges, we would market towards private high schools which have more budget. Colleges already have programs for online learning so they can act faster in response to the pandemic. High schools, on the other hand, have struggled a lot according to our research. We believe high schools and their students can benefit a lot from our communication system for remote learning during pandemic.
Built With
html
javascript
json
keras
nltk
numpy
pickle
python
random
re
react
sklearn
threading
Try it out
github.com
colab.research.google.com | Zigzag, Communication Tool for Remote Learning | Zigzag, AI intelligent communication app, is a combination of messaging tool and CMS for better and faster communication between schools and students in this remote learning era. | ['Tina Chou', 'Mei Tsen Shih'] | [] | ['html', 'javascript', 'json', 'keras', 'nltk', 'numpy', 'pickle', 'python', 'random', 're', 'react', 'sklearn', 'threading'] | 30 |
9,978 | https://devpost.com/software/betterday | Icon Better Day
Main Activity
Main Activity reverted
Hello jury from this hackathon! Thank you for taking your time to see and judge my application. My name is Anastaciya Migal, I’m currently a Java Developer that started its career in 2019, with non-traditional studies because I don’t have a diploma. Also, English is my second language, and I’m still learning it, so if I made English mistakes in this text or in the demo app, please consider that.
I wanted to help patients and medical staff get through the COVID-19 epidemic. I saw that most of solutions and ideas are provided directly against COVID-19. But there is not a lot of solutions that provides a response to help the mental side effects of the epidemic. Therefore, my solution has the purpose to provide joy and a better day for all user through this massive epidemic.
The application is very simple to use. It’s a prototype, that can be considered as well as an MVP, because it contains all main content for this simple application. But in the future, and outside this hackathon, I will maintain this application and improve it. I have a lot more ideas in my head! The user must open the application and watch a new video each day!
It was developed on Android Studio in Kotlin programming language using the custom YouTube API provided by this link:
https://github.com/PierfrancescoSoffritti/android-youtube-player
The user must install the application on Android and click on it like any other application. Now, the application is fully usable and contains all the content in the same page! The activity of the day is shown, and a video related to the activity is played automatically. The user can rotate his/her phone or tablet to see the video in wide format. The user can come back the next day and see a new activity displayed. But, if he doesn’t like the activity of the day, he can skip it and find a new one by closing and reopening the application.
I faced some challenges through this project. For example, deadlines. I had 2 weeks to do this project. But I work full time, and I have many other things to do. So, I didn't spend a good amount of time, like I would have liked. Then, I spent a lot of time to provide YouTube API on this project. My final solution was the API from
https://github.com/PierfrancescoSoffritti/android-youtube-player
that helped me put YouTube content on the app. I would have preferred using the true YouTube API from YouTube, but it contained restrictions that I could not satisfy for this 2-week project, including publishing the app on the Google Store (that takes about 3 weeks).
This product can be easily used in the market by uploading the application on Google Store. The process takes about 3 weeks and is easy as the application is!
Warning: As the application is not registrated into Google Store, it's normal to see a security warning from the Google Store. Click that you want to open it and that's it.
Built With
android-studio
kotlin
youtube
Try it out
github.com
github.com | BetterDay | This application helps patients with COVID-19 - and anybody else to enhance their day! | [] | [] | ['android-studio', 'kotlin', 'youtube'] | 31 |
9,978 | https://devpost.com/software/help-home | Introduction
Noticing the impact of COVID-19 — from the many students struggling with educational disruption to the significant lifestyle changes that have made people with special needs and those who are immunocompromised increasingly vulnerable — we designed and developed a virtual platform that is multi-purpose, practical and easy-to-use to mitigate these issues. Help@Home is a platform that connects volunteers and people who are in need. At Help@Home, students can receive immediate feedback from supportive volunteers by posting questions on our homework forum. Kids, people who are immunocompromised, and people with special needs can book a volunteer for grocery and medication pickup with our booking system. Help@Home also provides a judgement-free mental health text line, and a homework forum to support students in grades 4-12.
Purpose & Motivation
In an unforeseeable crisis like this, people must remain united despite the social distancing restrictions imposed by the virus. It is inevitable that people need to adapt to virtual meetings and transition to online teaching. However, some challenges are still unavoidable for groups such as children, those with special needs, and immunocompromised people who may be at higher risk than others. Besides the stress that may be present in one’s daily life, less exposure to the outside world and reduced contact with other people can also deteriorate one’s mental health, leaving one feeling lonely and depressed. Hence, we came up with three services centralized on one platform that target several main issues people face during quarantine: a homework forum for students, a mental helpline in the form of a chat box, as well as a volunteer booking system to book volunteers to help with grocery/medication pick-up services for those who might be unable to leave the house.
How this application works
The majority of users first create an account before using the Help@Home platform (however, the platform can be viewed by anyone regardless of whether they have an account). From here there are two types of users: ‘volunteers’ and ‘clients,’ which is chosen upon registration.
For clients:
Can rate volunteers after an appointment is completed, creating a more reliable system for other clients to choose volunteers
Can post questions which would later be answered by our volunteers on the homework forum
Login and chat anonymously on the mental health text line
Can view past and upcoming appointments on their profile page
Can view volunteer’s availability and select a time slot for grocery/medication pickup appointment booking
For volunteers:
Answer questions on the homework forum
Moderate and answer direct messages on the mental health text line
We understand that volunteer hours/times are required as part of students’ community involvement grades by some high schools, thus, Help@Home keeps a count of the number of appointments the volunteers complete on their profile page
Can view past and upcoming appointments
Can share their availability if they choose to participate in the grocery/medication pickup appointment service
How this application was developed
This application is built with both frontend and backend technologies.
For frontend, we used the Bootstrap framework, Javascript with jQuery. The chat platform is implemented with an additional Express. The main web page is linked with different sub-pages which the user can access after logging in. For user interactiveness, we added buttons, modals, forms, notifications, date and time picker, as well as drop-down menus so it is easier for the user to navigate through our pages. User and volunteer information are also stored in the backend database so it can be accessed and automatically updated any time our frontend tools require working with their information such as booking appointments.
The backend RESTful API service is built with Ruby on Rails powered by PostgreSQL. It is designed with self referential association for improving the query speed and avoiding the extra unneeded models. To persist and maintain databases, the validations are implemented. For security management, the backend is developed with JSON Web Token, bcrypt and dotenv-rails. The Heroku platform was chosen to host because it’s quick to provision and quick to deploy.
Frontend Github link:
https://github.com/emilyychenn/girlsintechhackathon
Backend Github link:
https://github.com/GAierken/girlsintech_hackathon_backend
Heroku live:
https://blooming-wave-77750.herokuapp.com/users
and
https://blooming-wave-77750.herokuapp.com/appointments
How to use this application
The first page the user/volunteer accesses is the main page, which shows the three different services we offer. As you scroll down, it displays the “signup” or “login” option on which the user or volunteer can click to set up or access their account. After signing in successfully, you are guided to your own profile page which contains 3 grids. The first grid shows your profile information which you can edit anytime. The second grid is a medium through which you can access the different service pages. The third grid displays the past and upcoming appointments the user has. For the appointment booking system, the user is able to view the past appointment information including the volunteer names, ratings and times. Their own Google calendar is also attached to the website so that they are able to view their own availability. To book, the user can just choose a date and time using the time-picker as well as a volunteer from the list of volunteers we have, then press submit. With regards to the chat function, the user has to set up a nickname, then is guided to the chat platform on which they have the option to join groups. On the homework forum, they can just enter the questions they have and those would be later answered by our volunteers.
Difficulties/Challenges we faced
In the beginning, we had difficulties assigning roles and making it clear what each person is responsible for. Hence, confusions arose which resulted in race conditions and merge conflicts for our members who were trying to work on it at the same time. However, after breaking it down further and examining the details, we had a more precise understanding of the steps we needed to take to achieve our end goal and hence improved our ability to delegate tasks. Since many parts of the project are interrelated, it was also challenging for us to collaborate together due to time differences. Therefore, there was a delay which some people had to wait till another person finishes till they can begin their part. Because not everyone is a full-stack developer, we divided the team into frontend and backend. However, due to the lack of experience, some of us had trouble understanding other people’s tasks. For example, the frontend may not fully understand how data is being fetched and manipulated in the backend. We overcame those problems by explaining the concepts and algorithms to one another in a clear and easy to understand manner.
Accomplishments we are proud of
Originally, our aim was to reach out to different groups of people and provide humanitarian support during an unprecedented time like this. We are proud to say that we reached our end goal and realized our original idea of making a website that is multi-purpose, encompassing a variety of different features and serving as a one-stop application for people who are impacted by Covid-19. We are also glad that we were able to connect the backend with frontend technologies so that not only does it have the user interaction feature, but is also functioning as information about the user and volunteer is deployed and updated simultaneously. This means that our application is not just a prototype, but it can be put into immediate use. In addition, not all of us knew each other in the beginning and our skills vary from member to member. However, we were able to cooperate and delegate tasks in a way that every member was able to contribute to the project based on our unique skill set and experience. Since our project relies heavily on different API platforms, we struggled with making API calls to an extent. Nonetheless, we were able to work together to troubleshoot the bugs and polish our work. Everyone has learned new technologies from this project.
What's next for Help@Home: Go-to-Market Evaluation
The internet is one of the most accessible platforms that has a wide reach to a variety of different users. This makes Help@Home easily accessible to the public. Additionally, Help@Home would be a free platform available to anyone who has internet connection; as the scale increases, we would likely have a donations feature or a few advertisements on various pages to mitigate costs. For optimal product-market fit and as the number of users increases, we would create surveys for our users to fill in after they use the web application so that we can take in suggestions and feedback to enhance the platform. To scale the product, we could move it to cloud solutions for greater flexibility and efficiency on our technical management end as well as the user’s. Marketing it on social media such as Facebook and Instagram would also help attract new users.
Built With
bootstrap
express.js
heroku
html5
javascript
jquery
postgresql
ruby-on-rails
sendbird
Try it out
github.com | Help@Home | A virtual platform to give and get help from the comfort of home. | ['Guligena Aierken', 'Annie Liu', 'Emily Chen', 'Xiameng Chen'] | [] | ['bootstrap', 'express.js', 'heroku', 'html5', 'javascript', 'jquery', 'postgresql', 'ruby-on-rails', 'sendbird'] | 32 |
9,978 | https://devpost.com/software/temani-self-quarrantine-buddy | Nina, our chat bot persona
Introduction
Permission to call access
Line call interface
Inspiration: an always-be-there-for-you buddy.
What it does: to chat and to accompany you to stay sane and even help lower your anxiety level through guided mindful breathing call
How we built it: with rush and empathy, haha. By zoom meeting with user to get the user journey map and also zoom brainstorming sessions and quick prototyping
Challenges: we ran into we ran into doing it while still doing daily duties during quarantine
Accomplishments: that we're proud of: that we're proud of to build the first prototype in time
What we learned: that we can actually do something about this devastating time
What's next for TEMANI self quarantine buddy: more features to reduce stress and anxiety due to mental health problems
Built With
adobe
marvel
Try it out
marvelapp.com | TEMANI self quarantine buddy | An always-be-there-for-you buddy | ['prima singgih', 'Nadia Mahatmi', 'Leony Chrisanti'] | [] | ['adobe', 'marvel'] | 33 |
Subsets and Splits