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Delete PneumonAI_App

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PneumonAI_App/Dockerfile DELETED
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- # Use an official Python runtime as a parent image
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- FROM python:3.8
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-
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- # Set the working directory in the container
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- WORKDIR /PneumonAI_App
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-
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- # Copy the current directory contents into the container at /app
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- COPY . /PneumonAI_App
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-
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- # Install any needed packages specified in requirements.txt
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- RUN pip install --no-cache-dir -r requirements.txt
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-
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- # Expose port 5000 for the Flask app
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- EXPOSE 5000
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-
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- # Define environment variable
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- ENV FLASK_APP=app.py
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-
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- # Run the application
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- CMD ["python", "/PneumonAI_App/app.py"]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
PneumonAI_App/app.py DELETED
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- from flask import Flask, render_template, request, jsonify
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- import torch
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- import torch.nn as nn
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- from torchvision import transforms
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- from torchvision.models import vgg16
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- from PIL import Image
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- import io
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-
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- app = Flask(__name__, static_folder='assets')
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-
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- # Load the model
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- model = torch.load('pneumonAI_model.pth', map_location=torch.device('cpu'))
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-
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- model.eval()
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-
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- # Define class labels
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- class_to_label = {0: 'Normal', 1: 'Pneumonia'}
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-
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- # Define the transformation
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- preprocess = transforms.Compose([
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- transforms.Grayscale(num_output_channels=3),
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- transforms.Resize((224, 224)), # Adjusted to 224 for the model
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- transforms.ToTensor(),
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- transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
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- ])
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-
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- @app.route('/')
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- def home():
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- return render_template('home.html')
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-
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- @app.route('/about')
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- def about():
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- return render_template('about.html')
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-
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- @app.route('/predict', methods=['POST'])
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- def predict():
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- if 'file' not in request.files:
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- return jsonify({'error': 'No file part'})
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-
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- file = request.files['file']
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- if file.filename == '':
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- return jsonify({'error': 'No selected file'})
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-
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- # Load the image
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- img = Image.open(io.BytesIO(file.read()))
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-
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- # Preprocess the image
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- img_tensor = preprocess(img).unsqueeze(0) # Add batch dimension
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-
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- # Make the prediction
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- with torch.no_grad():
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- output = model(img_tensor)
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-
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- # Apply softmax to get confidence scores (probabilities)
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- probabilities = torch.nn.functional.softmax(output, dim=1)
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-
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- # Get the predicted class label and its confidence
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- predicted_class = torch.argmax(probabilities, 1).item()
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- confidence = probabilities[0][predicted_class].item()
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-
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- return jsonify({'prediction': class_to_label[predicted_class], 'confidence': confidence * 100})
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-
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- if __name__ == '__main__':
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- app.run(debug=True)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
PneumonAI_App/assets/accuracy.png DELETED
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PneumonAI_App/assets/clear.png DELETED
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PneumonAI_App/assets/clock.png DELETED
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PneumonAI_App/assets/eye.png DELETED
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PneumonAI_App/assets/header.png DELETED
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PneumonAI_App/assets/logo.png DELETED
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PneumonAI_App/assets/loupe.png DELETED
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PneumonAI_App/assets/machine-learning.png DELETED
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PneumonAI_App/assets/person1.jpg DELETED
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PneumonAI_App/assets/person2.jpg DELETED
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PneumonAI_App/assets/person3.png DELETED

Git LFS Details

  • SHA256: 81b8dc93badefcc3ace62f638ac488101a50ad8f753e88aaf51005caac9c0d3d
  • Pointer size: 132 Bytes
  • Size of remote file: 1.03 MB
PneumonAI_App/assets/robot.png DELETED
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PneumonAI_App/assets/x-ray.png DELETED
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PneumonAI_App/pneumonAI_model.pth DELETED
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- version https://git-lfs.github.com/spec/v1
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- oid sha256:369fecfa56158f4847718d02ba90777d81453667c41c220849299c9790c60be5
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- size 537096918
 
 
 
 
PneumonAI_App/requirements.txt DELETED
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- flask
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- torch
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- torchvision
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- gunicorn
 
 
 
 
 
PneumonAI_App/templates/about.html DELETED
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- <html lang="en">
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- <head>
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- <meta charset="utf-8" />
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- <meta content="width=device-width, initial-scale=1.0" name="viewport" />
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- <title>PneumonAI</title>
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- <script src="https://cdn.tailwindcss.com"></script>
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- <link
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- href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"
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- rel="stylesheet"
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- />
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- <link
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- href="https://fonts.googleapis.com/css2?family=Nunito:wght@400;700&amp;display=swap"
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- rel="stylesheet"
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- />
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- <link
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- rel="icon"
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- href="{{ url_for('static', filename='logo.png') }}"
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- type="image/x-icon"
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- />
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- <style>
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- body {
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- font-family: "Nunito", sans-serif;
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- }
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-
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- .blue {
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- background-color: #0099ff;
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- }
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-
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- .dongker {
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- color: #01095e;
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- }
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-
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- .bg {
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- background-color: rgba(0, 153, 255, 0.65);
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- }
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-
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- .bdr {
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- border: 2px solid #0099ff;
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- }
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- </style>
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- </head>
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- <body class="bg-gray-50 text-gray-800">
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- <header class="bg-white shadow-lg sticky top-0 z-50">
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- <div
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- class="container mx-auto px-12 py-4 flex justify-between items-center"
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- >
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- <div class="flex items-center">
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- <img
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- alt="PneumonAI logo"
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- class="h-10 w-10 rounded-md"
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- height="40"
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- src="{{ url_for('static', filename='logo.png') }}"
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- width="40"
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- />
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- <span class="ml-2 text-2xl font-bold dongker"> PneumonAI </span>
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- </div>
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- <nav class="flex space-x-4 items-center">
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- <a class="hover:text-blue-500" href="{{ url_for('home') }}"> Home </a>
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- <a class="hover:text-blue-500" href="{{ url_for('about') }}">
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- About Us
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- </a>
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- <a
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- class="blue text-white px-4 py-2 rounded-full hover:bg-blue-500"
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- href="{{ url_for('home') }}#detect"
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- >
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- Start Detecting
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- </a>
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- </nav>
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- </div>
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- </header>
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- <main class="text-center py-16">
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- <h1 class="text-5xl font-bold dongker pt-8">Our Mission:</h1>
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- <h2 class="text-5xl font-bold dongker mt-2">
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- Merging Technology and Health
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- </h2>
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- <p class="mt-6 pt-12 text-lg max-w-4xl mx-auto pb-8">
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- We are a team dedicated to creating AI solutions that enhance healthcare
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- for everyone. With expertise in both technology and medicine, our goal
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- is to make disease diagnosis faster, easier, and more accurate. Meet the
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- people behind this innovation and join us in shaping a healthier future.
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- </p>
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- </main>
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- <section class="bg py-16 pt-24 pb-24">
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- <h2 class="text-5xl font-bold text-center dongker pb-12">
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- Meet Our Team
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- </h2>
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- <div class="flex justify-center space-x-8 mt-8">
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- <div
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- class="bg-white p-6 rounded-xl shadow-lg text-center min-w-[225px]"
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- >
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- <img
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- alt="Profile picture of Bernard Santosa"
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- class="mx-auto rounded-full"
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- height="150"
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- src="{{ url_for('static', filename='person1.jpg') }}"
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- width="150"
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- />
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- <p class="mt-4 text-lg font-semibold">Bernard Santosa</p>
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- </div>
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- <div
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- class="bg-white p-6 rounded-xl shadow-lg text-center min-w-[225px]"
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- >
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- <img
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- alt="Profile picture of Filbert Naldo Wijaya"
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- class="mx-auto rounded-full"
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- height="150"
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- src="{{ url_for('static', filename='person2.jpg') }}"
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- width="150"
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- />
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- <p class="mt-4 text-lg font-semibold">Filbert Naldo Wijaya</p>
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- </div>
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- <div
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- class="bg-white p-6 rounded-xl shadow-lg text-center min-w-[225px]"
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- >
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- <img
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- alt="Profile picture of Edberg"
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- class="mx-auto rounded-full"
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- height="150"
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- src="{{ url_for('static', filename='person3.png') }}"
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- width="150"
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- />
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- <p class="mt-4 text-lg font-semibold">Edberg</p>
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- </div>
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- </div>
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- </section>
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- <footer class="text-center py-4">
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- <p>Copyright © 2024 PneumonAI</p>
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- </footer>
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- </body>
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- </html>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
PneumonAI_App/templates/home.html DELETED
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- <html lang="en">
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- <head>
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- <meta charset="utf-8" />
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- <meta content="width=device-width, initial-scale=1.0" name="viewport" />
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- <title>PneumonAI</title>
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- <script src="https://cdn.tailwindcss.com"></script>
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- <link
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- href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"
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- rel="stylesheet"
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- />
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- <link
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- href="https://fonts.googleapis.com/css2?family=Nunito:wght@400;700&amp;display=swap"
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- rel="stylesheet"
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- />
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- <link
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- rel="icon"
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- href="{{ url_for('static', filename='logo.png') }}"
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- type="image/x-icon"
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- />
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- <style>
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- body {
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- font-family: "Nunito", sans-serif;
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- }
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-
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- .blue {
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- background-color: #0099ff;
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- }
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-
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- .dongker {
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- color: #01095e;
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- }
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-
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- .bg {
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- background-color: rgba(0, 153, 255, 0.65);
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- }
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-
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- .bdr {
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- border: 2px solid #0099ff;
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- }
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- </style>
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- </head>
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- <body class="bg-gray-50 text-gray-1000">
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- <header class="bg-white shadow-lg sticky top-0 z-50">
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- <div
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- class="container mx-auto px-12 py-4 flex justify-between items-center"
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- >
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- <div class="flex items-center">
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- <img
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- alt="PneumonAI logo"
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- class="h-10 w-10 rounded-md"
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- height="40"
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- src="{{ url_for('static', filename='logo.png') }}"
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- width="40"
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- />
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- <span class="ml-2 text-2xl font-bold dongker"> PneumonAI </span>
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- </div>
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- <nav class="flex space-x-4 items-center">
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- <a class="hover:text-blue-500" href="{{ url_for('home') }}"> Home </a>
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- <a class="hover:text-blue-500" href="{{ url_for('about') }}">
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- About Us
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- </a>
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- <a
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- class="blue text-white px-4 py-2 rounded-full hover:bg-blue-500"
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- href="#detect"
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- >
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- Start Detecting
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- </a>
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- </nav>
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- </div>
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- </header>
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-
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- <main>
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- <section class="bg-white py-12">
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- <div
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- class="container mx-auto px-12 flex flex-col md:flex-row items-center"
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- >
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- <div class="md:w-2/3 text-center md:text-left">
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- <h1 class="text-5xl font-bold dongker">
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- Detect Pneumonia with AI. <br />Fast, Accurate, and Easy!
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- </h1>
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- <p class="mt-4 pt-4 text-lg">
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- Welcome to the future of pneumonia detection! With just one click,
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- you can analyze your chest X-ray and get fast, reliable results.
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- Start now and experience the power of cutting-edge technology.
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- </p>
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- <div class="mt-8 flex justify-center md:justify-start space-x-4">
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- <a
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- class="blue text-white px-6 py-3 rounded-full hover:bg-blue-500"
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- href="#detect"
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- >
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- Start Detecting
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- </a>
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- </div>
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- </div>
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- <div class="md:w-1/3 mt-8 md:mt-0 flex justify-center md:justify-end">
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- <img
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- alt="Doctor analyzing X-ray"
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- class="mx-auto"
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- height="400"
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- src="{{ url_for('static', filename='header.png') }}"
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- width="400"
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- />
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- </div>
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- </div>
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- </section>
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- <section class="bg py-16">
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- <div class="container mx-auto px-4 py-8">
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- <h2 class="text-5xl font-bold text-center dongker">
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- What You Need to Know About Pneumonia
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- </h2>
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- <div class="mt-8 grid grid-cols-1 md:grid-cols-2 gap-8 pt-12 px-8">
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- <div class="bg-white p-6 rounded-2xl shadow">
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- <h3 class="text-2xl font-bold text-gray-800">
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- What is Pneumonia?
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- </h3>
116
- <p class="mt-2">
117
- Pneumonia is a lung infection that makes it hard to breathe. It
118
- fills the air sacs in your lungs with fluid or pus, leading to
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- coughing, fever, and chills. While anyone can get pneumonia,
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- it's more dangerous for young kids, older people, and those with
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- weak immune systems.
122
- </p>
123
- </div>
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- <div class="bg-white p-6 rounded-2xl shadow">
125
- <h3 class="text-2xl font-bold text-gray-800">What Causes It?</h3>
126
- <p class="mt-2">
127
- Pneumonia is caused by germs like bacteria, viruses (like the
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- flu or COVID-19), and fungi. The most common type comes from
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- bacteria called Streptococcus pneumoniae.
130
- </p>
131
- </div>
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- <div class="bg-white p-6 rounded-2xl shadow">
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- <h3 class="text-2xl font-bold text-gray-800">
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- What Happens if It's Left Untreated?
135
- </h3>
136
- <p class="mt-2">
137
- Without treatment, pneumonia can cause serious problems like
138
- breathing failure or blood infections. It's important to treat
139
- it early to prevent these dangers.
140
- </p>
141
- </div>
142
- <div class="bg-white p-6 rounded-2xl shadow">
143
- <h3 class="text-2xl font-bold text-gray-800">
144
- How Do You Detect It?
145
- </h3>
146
- <p class="mt-2">
147
- Pneumonia symptoms can feel like a bad cold, so doctors use
148
- chest X-rays to find it. With our AI, you can upload your X-ray,
149
- and we'll help check for pneumonia quickly.
150
- </p>
151
- </div>
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- </div>
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- </div>
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- </section>
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- <section class="bg-white py-16 pb-24">
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- <div class="container mx-auto px-12 pt-8">
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- <h2 class="text-5xl font-bold text-center dongker">
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- How Does Our AI Detect Pneumonia?
159
- </h2>
160
- <p class="mt-4 text-center py-8 text-lg">
161
- Behind the scenes, our AI is like a detective, scanning your X-ray
162
- for clues and patterns that could signal pneumonia. It's fast,
163
- reliable, and gives you answers without the wait. Want to know how
164
- it all works? We've got you covered.
165
- </p>
166
-
167
- <div class="mt-8 grid grid-cols-1 md:grid-cols-3 gap-8">
168
- <!-- Left column - Powered by Deep Learning Section -->
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- <div class="bg-white p-6 bdr rounded-3xl shadow-xl">
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- <div class="flex items-start">
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- <div>
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- <img
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- src="{{ url_for('static', filename='machine-learning.png') }}"
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- alt="icon"
175
- class="w-9 h-9 mr-4 mb-2"
176
- />
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- <h3 class="text-xl font-bold">Powered by Deep Learning</h3>
178
- <p class="mt-2">
179
- Our AI uses deep learning, mimicking the human brain.
180
- Trained on thousands of X-rays, it recognizes subtle
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- patterns that even experts might miss, like having a
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- super-experienced radiologist 24/7.
183
- </p>
184
- </div>
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- </div>
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- </div>
187
-
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- <!-- Center Column - Robot Image Section -->
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- <div
190
- class="bg-white p-6 bdr rounded-3xl shadow-xl row-span-2 flex items-center justify-center"
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- >
192
- <img
193
- alt="AI analyzing X-ray"
194
- class="mx-auto"
195
- height="500"
196
- src="{{ url_for('static', filename='robot.png') }}"
197
- width="500"
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- />
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- </div>
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-
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- <!-- Left column - Super Quick Results Section -->
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- <div class="bg-white p-6 bdr rounded-3xl shadow-xl">
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- <div class="flex items-start">
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- <div>
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- <img
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- src="{{ url_for('static', filename='clock.png') }}"
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- alt="icon"
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- class="w-9 h-9 mr-4 mb-2"
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- />
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- <h3 class="text-xl font-bold">Super Quick Results</h3>
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- <p class="mt-2">
212
- Get results in seconds after uploading your image. The AI
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- processes it instantly, delivering a detailed report without
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- delay.
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- </p>
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- </div>
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- </div>
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- </div>
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-
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- <!-- Right column - What Does It Look For? Section -->
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- <div class="bg-white p-6 bdr rounded-3xl shadow-xl">
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- <div class="flex items-start">
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- <div>
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- <img
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- src="{{ url_for('static', filename='eye.png') }}"
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- alt="icon"
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- class="w-9 h-9 mr-4 mb-2"
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- />
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- <h3 class="text-xl font-bold">What Does It Look For?</h3>
230
- <p class="mt-2">
231
- Upload your chest X-ray, and the AI scans for pneumonia
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- signs such as lung opacity, fluid buildup, and inflammation,
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- providing a detailed analysis.
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- </p>
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- </div>
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- </div>
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- </div>
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-
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- <!-- Right column - Accuracy You Can Trust Section -->
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- <div class="bg-white p-6 bdr rounded-3xl shadow-xl">
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- <div class="flex items-start">
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- <div>
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- <img
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- src="{{ url_for('static', filename='accuracy.png') }}"
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- alt="icon"
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- class="w-9 h-9 mr-4 mb-2"
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- />
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- <h3 class="text-xl font-bold">Accuracy You Can Trust</h3>
249
- <p class="mt-2">
250
- Trained on 10,000 images, our model delivers 95.83% of
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- accuracy, complementing doctors' expertise for the best
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- care.
253
- </p>
254
- </div>
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- </div>
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- </div>
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- </div>
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- </div>
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- </section>
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- <section class="bg py-16 px-8 pb-24" id="detect">
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- <div class="container mx-auto px-4 text-center">
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- <h2 class="text-5xl font-bold dongker mt-8">
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- Upload Your X-ray - Get Instant Results!
264
- </h2>
265
- <p class="mt-4 text-lg py-8">
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- Got a chest X-ray? Great! Upload it here, and in just a few moments,
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- our AI will give you a detailed report. <br />It's quick, it's easy,
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- and it's secure. Let's get started!
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- </p>
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- <div
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- class="mt-8 grid grid-cols-1 md:grid-cols-2 gap-8 bg-white rounded-3xl p-8 mx-36"
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- style="min-height: 450px"
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- >
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- <div
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- class="bg-white p-6 rounded-xl shadow flex flex-col items-center justify-center border-2 border-dashed border-gray-500 relative"
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- >
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- <img
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- src="{{ url_for('static', filename='x-ray.png') }}"
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- alt="icon"
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- class="w-20 h-20 opacity-40"
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- id="uploadLogo"
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- />
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- <button
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- class="mt-4 blue text-white px-6 py-3 mt-8 rounded-full hover:bg-blue-500"
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- id="uploadButton"
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- >
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- Upload Image
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- </button>
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- <input
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- class="hidden"
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- id="fileInput"
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- type="file"
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- accept="image/*"
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- />
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- <img
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- alt="Image Preview"
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- class="mt-4 hidden"
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- id="imagePreview"
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- style="display: none; max-width: 100%"
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- />
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- <i
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- class="fas fa-times text-3xl absolute dongker mt-4 hidden top-0 right-6"
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- id="removeImage"
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- style="cursor: pointer"
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- >
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- </i>
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- </div>
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- <div
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- class="bg-white p-6 rounded-xl shadow flex flex-col items-center justify-center border-2 border-gray-300"
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- >
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- <img
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- src="{{ url_for('static', filename='loupe.png') }}"
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- alt="icon"
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- class="w-20 h-20 opacity-40"
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- id="check-icon"
316
- />
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- <button
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- class="mt-4 bg-gray-200 px-6 py-3 mt-8 rounded-full hover:bg-gray-300"
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- id="check-button"
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- disabled
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- >
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- Check My X-Ray
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- </button>
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- <div class="w-full" id="prediction-result" style="display: none">
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- <div>
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- <p class="text-left pb-2 text-lg">Prediction</p>
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- <div
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- id="prediction"
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- class="bg-gray-100 py-9 rounded-lg text-center text-2xl font-bold"
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- >
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- Pneumonia
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- </div>
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- </div>
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- <div class="pt-12">
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- <p class="text-left pb-2 text-lg">Confidence</p>
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- <div
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- id="confidence"
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- class="bg-gray-100 py-9 rounded-lg text-center text-2xl font-bold"
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- >
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- 98.57%
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- </div>
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- </div>
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- </div>
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- </div>
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- </div>
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- </div>
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- </section>
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- <section class="bg-white py-16 px-8">
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- <div class="container mx-auto px-4">
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- <h2 class="text-5xl font-bold dongker">Frequently Ask Question</h2>
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- <hr class="my-4 border-t-2 border-gray-300" />
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- <ul class="mt-8 space-y-4 text-lg">
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- <li class="accordion-item">
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- <div class="accordion-header cursor-pointer text-xl font-bold">
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- <span class="icon font-normal">></span>
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- <span>How quickly can I start the detection process?</span>
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- </div>
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- <div
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- class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
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- >
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- <p class="mt-2 text-justify">
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- No complicated forms here. Just drag and drop your chest X-ray
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- image or select it from your device, and our AI will start
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- analyzing right away. The process only takes a few seconds,
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- and you'll have your results in no time.
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- </p>
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- </div>
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- </li>
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- <li class="accordion-item">
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- <div class="accordion-header cursor-pointer text-xl font-bold">
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- <span class="icon font-normal">></span>
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- <span>What information will I receive after the scan?</span>
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- </div>
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- <div
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- class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
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- >
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- <p class="mt-2 text-justify">
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- Once the scan is complete, you’ll receive two key pieces of
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- information:
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- <br /><br />
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- Prediction: Whether the scan indicates ‘Normal’ or shows signs
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- of ‘Pneumonia’.
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- <br />
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- Confidence Level: A percentage that tells you how confident
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- the AI is in its prediction.
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- <br /><br />
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- For example, a 95% confidence means the AI is highly certain
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- about its result.
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- </p>
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- </div>
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- </li>
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- <li class="accordion-item">
393
- <div class="accordion-header cursor-pointer text-xl font-bold">
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- <span class="icon font-normal">></span>
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- <span>Is my privacy protected when using this tool?</span>
396
- </div>
397
- <div
398
- class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
399
- >
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- <p class="mt-2 text-justify">
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- We take your privacy seriously. Your X-rays are processed
402
- securely, and we don’t store any images after generating your
403
- results. It’s all about keeping your data safe while giving
404
- you the answers you need.
405
- </p>
406
- </div>
407
- </li>
408
- <li class="accordion-item">
409
- <div class="accordion-header cursor-pointer text-xl font-bold">
410
- <span class="icon font-normal">></span>
411
- <span>How fast will I get the results?</span>
412
- </div>
413
- <div
414
- class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
415
- >
416
- <p class="mt-2 text-justify">
417
- No need to wait around. As soon as the image is uploaded, our
418
- AI works its magic and provides you with a detailed prediction
419
- in seconds. The confidence score helps you understand how
420
- reliable the result is, giving you peace of mind.
421
- </p>
422
- </div>
423
- </li>
424
- <li class="accordion-item">
425
- <div class="accordion-header cursor-pointer text-xl font-bold">
426
- <span class="icon font-normal">></span>
427
- <span>What should I do if the result indicates pneumonia?</span>
428
- </div>
429
- <div
430
- class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
431
- >
432
- <p class="mt-2 text-justify">
433
- If the result suggests pneumonia, we recommend you follow up
434
- with a healthcare professional. The AI is designed to support
435
- early detection, but a doctor’s opinion is always the next
436
- step in your care journey.
437
- </p>
438
- </div>
439
- </li>
440
- </ul>
441
- </div>
442
- </section>
443
- </main>
444
- <footer class="bg-white py-4 pb-4">
445
- <div class="container mx-auto px-4 text-center">
446
- <p>Copyright © 2024 PneumonAI</p>
447
- </div>
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- </footer>
449
- <script>
450
- document.addEventListener("DOMContentLoaded", function () {
451
- const items = document.querySelectorAll(".accordion-item");
452
- items.forEach((item) => {
453
- item
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- .querySelector(".accordion-header")
455
- .addEventListener("click", () => {
456
- const openItem = document.querySelector(".accordion-item.open");
457
- toggleItem(item);
458
- if (openItem && openItem !== item) {
459
- toggleItem(openItem);
460
- }
461
- });
462
- });
463
-
464
- const toggleItem = (item) => {
465
- const content = item.querySelector(".accordion-content");
466
- if (item.classList.contains("open")) {
467
- content.style.maxHeight = null;
468
- item.classList.remove("open");
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- } else {
470
- content.style.maxHeight = content.scrollHeight + "px";
471
- item.classList.add("open");
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- }
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- };
474
-
475
- document
476
- .getElementById("uploadButton")
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- .addEventListener("click", function () {
478
- document.getElementById("fileInput").click();
479
- });
480
-
481
- document
482
- .getElementById("fileInput")
483
- .addEventListener("change", function (event) {
484
- const file = event.target.files[0];
485
- if (file) {
486
- const reader = new FileReader();
487
- reader.onload = function (e) {
488
- document.getElementById("imagePreview").src = e.target.result;
489
- document.getElementById("imagePreview").style.display = "block";
490
- document.getElementById("uploadLogo").style.display = "none";
491
- document.getElementById("uploadButton").style.display = "none";
492
- document.getElementById("removeImage").style.display = "block";
493
- };
494
- reader.readAsDataURL(file);
495
- }
496
- });
497
-
498
- document
499
- .getElementById("removeImage")
500
- .addEventListener("click", function () {
501
- document.getElementById("fileInput").value = "";
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- document.getElementById("imagePreview").style.display = "none";
503
- document.getElementById("uploadLogo").style.display = "block";
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- document.getElementById("uploadButton").style.display = "block";
505
- document.getElementById("removeImage").style.display = "none";
506
-
507
- // sementara - handle upload tapi blm dicheck dan lgsg remove
508
- window.location.reload();
509
- });
510
- });
511
-
512
- document.querySelectorAll(".accordion-item").forEach((item) => {
513
- const header = item.querySelector(".accordion-header");
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- const content = item.querySelector(".accordion-content");
515
- const icon = header.querySelector(".icon");
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-
517
- header.addEventListener("click", () => {
518
- const isActive = content.style.maxHeight;
519
- document
520
- .querySelectorAll(".accordion-content")
521
- .forEach((c) => (c.style.maxHeight = null));
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- document
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- .querySelectorAll(".icon")
524
- .forEach((i) => (i.textContent = ">"));
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-
526
- if (!isActive) {
527
- content.style.maxHeight = content.scrollHeight + "px";
528
- icon.textContent = "v";
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- } else {
530
- content.style.maxHeight = null;
531
- }
532
- });
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- });
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-
535
- const fileInput = document.getElementById("fileInput");
536
- const checkButton = document.getElementById("check-button");
537
-
538
- const removeImage = document.getElementById("removeImage");
539
- const uploadLogo = document.getElementById("uploadLogo");
540
- const imagePreview = document.getElementById("imagePreview");
541
-
542
- const predictionResult = document.getElementById("prediction-result");
543
- const predictionText = document.getElementById("prediction");
544
- const confidenceText = document.getElementById("confidence");
545
-
546
- // Enable the check button when an image is uploaded
547
- fileInput.addEventListener("change", function () {
548
- if (fileInput.files.length > 0) {
549
- checkButton.disabled = false;
550
- uploadLogo.classList.add("hidden"); // Hide the upload icon
551
- imagePreview.src = URL.createObjectURL(fileInput.files[0]);
552
- imagePreview.classList.remove("hidden"); // Show the image preview
553
- removeImage.classList.remove("hidden"); // Show the remove icon
554
- } else {
555
- checkButton.disabled = true;
556
- }
557
- });
558
-
559
- // Call the showPrediction function when the "Check" button is clicked
560
- checkButton.addEventListener("click", function () {
561
- const formData = new FormData();
562
- formData.append("file", fileInput.files[0]);
563
- console.log(formData);
564
- fetch("/predict", {
565
- // Ensure '/predict' matches your Flask route
566
- method: "POST",
567
- body: formData,
568
- })
569
- .then((response) => response.json())
570
- .then((data) => {
571
- predictionText.innerText = data.prediction; // Update with the prediction result
572
- confidenceText.innerText = data.confidence.toFixed(2) + "%"; // Update with the confidence
573
- predictionResult.style.display = "block"; // Show the prediction result
574
- document.getElementById("check-icon").style.display = "none";
575
- document.getElementById("check-button").style.display = "none";
576
- })
577
- .catch((error) => {
578
- console.error("Error:", error);
579
- });
580
- });
581
-
582
- removeImage.addEventListener("click", function () {
583
- fileInput.value = ""; // Clear the file input
584
- checkButton.disabled = true; // Disable the check button
585
- uploadLogo.classList.remove("hidden"); // Show the upload icon again
586
- imagePreview.classList.add("hidden"); // Hide the image preview
587
- removeImage.classList.add("hidden"); // Hide the remove icon
588
- predictionResult.style.display = "none"; // Hide the prediction result
589
- });
590
- </script>
591
- </body>
592
- </html>