remodify
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README.md
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---
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## ๐ Features
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- ๐ **Compare Development Metrics**: Visual comparisons between cities on metrics like health, education, infrastructure, etc.
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- ๐ **Time Series Forecasting**: Uses ARIMA models to predict future values for selected indicators.
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- ๐ **Radar Chart Visualization**: View cities' SDG performance across multiple indicators.
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- ๐ง **AI-Powered Insights**: Automatically highlights strongest and weakest areas for each city.
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- ๐ **Twin City Matching**: Suggests cities with similar developmental patterns.
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- ๐ฏ **Clustering**: KMeans-based segmentation to group cities with similar development profiles.
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- ๐งฎ **Correlation Analysis**: Examine relationships between key indicators.
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---
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## ๐ Project Structure
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```
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Decode-India/
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โ
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โโโ app.py # Main Dash application
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โโโ data/
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โ โโโ india_growth_metrics.csv # City-wide metrics data
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โ โโโ timeseries.csv # Year-wise data (2015โ2023) for forecasting
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โโโ requirements.txt # Python dependencies
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โโโ README.md # Instructions and documentation
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```
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---
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## ๐ Deploy on Hugging Face Spaces (Recommended)
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### Step 1: Create Hugging Face Account
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1. Go to [huggingface.co](https://huggingface.co) and sign up
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2. Verify your email address
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### Step 2: Create a New Space
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1. Click on your profile โ "New Space"
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2. Choose settings:
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- **Owner**: Your username
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- **Space name**: `decode-india-dashboard`
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- **Space SDK**: **Gradio** (we'll use this for Dash)
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- **License**: MIT
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- **Visibility**: Public
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### Step 3: Upload Your Code
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1. Clone the space repository:
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```bash
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git clone https://huggingface.co/spaces/your-username/decode-india-dashboard
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cd decode-india-dashboard
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```
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2. Copy your files:
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```bash
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# Copy all your project files
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cp -r /path/to/your/project/* .
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```
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3. Push to Hugging Face:
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```bash
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git add .
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git commit -m "Initial deployment"
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git push
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```
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### Step 4: Your App is Live!
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Your dashboard will be available at:
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`https://huggingface.co/spaces/your-username/decode-india-dashboard`
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---
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## โ๏ธ How to Run the Dashboard Locally
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### 1๏ธโฃ Clone the Repository
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```bash
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git clone https://github.com/your-username/Decode-India.git
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cd Decode-India
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```
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### Create & Activate a Virtual Environment
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python -m venv .venv
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# Activate the environment:
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# On Windows
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```bash
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.venv\Scripts\activate
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```
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# On macOS/Linux
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```bash
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source .venv/bin/activate
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```
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### Install Required Dependencies
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```bash
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pip install -r requirements.txt
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```
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Or install individually:
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```bash
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pip install dash pandas plotly numpy scikit-learn statsmodels
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```
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### Add the Data Files
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Place the following files in the data/ folder:
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india_growth_metrics.csv โ Contains city-wise growth indicators.
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timeseries.csv โ Contains yearly data for each city for time series analysis (2015โ2023)
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### Run the Application
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```bash
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python app.py
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```
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### View in Browser
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Visit:
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```bash
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http://127.0.0.1:8050/
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```
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---
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## ๐ฏ Alternative Deployment Options
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See [DEPLOYMENT.md](DEPLOYMENT.md) for other deployment options including:
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- Railway
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- Render
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- Heroku
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- Docker
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- VPS/Cloud servers
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title: codeclash
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emoji: ๐ฆ
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colorFrom: pink
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colorTo: green
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sdk: gradio
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sdk_version: 5.27.1
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app_file: app.py
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pinned: false
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