A modern, AI-powered web application that allows users to upload lab reports (PDF or images) and instantly see their health parameters extracted into a clean, interactive table with insights and trends.

✅ File Upload: Smooth drag-and-drop interface for PDF and image files ✅ OCR Processing: Uses Tesseract.js for text extraction from images and PDFs ✅ Data Extraction: Automatically extracts health parameters, values, units, and ranges ✅ Interactive Display: Clean, responsive table showing extracted health data ✅ Health Trends: Simulated historical data with interactive charts ✅ AI Insights: Flags abnormal values and provides actionable recommendations ✅ Modern UI: Beautiful dark theme with Tailwind CSS ✅ Responsive Design: Works perfectly on desktop and mobile devices

• Frontend: Next.js 15 with React 19
• Styling: Tailwind CSS 4
• OCR: Tesseract.js for text extraction
• Charts: Recharts for data visualization
• Icons: Lucide React
• Language: TypeScript

• Node.js 18+
• npm or yarn

1. Clone the repository:

git clone <repository-url>
cd korai_health

2. Install dependencies:

npm install

3. Run the development server:

npm run dev

4. Open http://localhost:3000 in your browser.

1. Upload a Lab Report:

   • Drag and drop a PDF or image file onto the upload area
   • Or click to browse and select a file
   • Supported formats: JPEG, PNG, PDF

2. Processing:

   • The app will automatically extract text using OCR
   • Health parameters will be identified and analyzed
   • Processing typically takes 10-30 seconds depending on file size

3. View Results:

   • Health Parameters Table: Shows extracted values with status indicators
   • Health Trends: Interactive chart showing historical data
   • AI Insights: Recommendations for abnormal values

For testing purposes, you can use the sample lab report text file located at public/sample-lab-report.txt. This file contains common health parameters that the app can recognize and analyze.

The application currently recognizes and analyzes these health parameters:

• Glucose (mg/dl)
• Cholesterol (mg/dl)
• Hemoglobin (g/dl)
• Creatinine (mg/dl)
• Sodium (mmol/l)
• Potassium (mmol/l)
• Calcium (mg/dl)
• Vitamin D (mcg/dl)

• 🟢 Normal: Values within healthy range
• 🟡 High/Low: Values outside normal range (attention needed)
• 🔴 Critical: Values significantly outside normal range (immediate attention)

korai_health/
├── app/
│   ├── layout.tsx          # Root layout with metadata
│   ├── page.tsx            # Main application component
│   └── globals.css         # Global styles
├── public/
│   └── sample-lab-report.txt  # Sample data for testing
├── package.json
└── README.md

• File Upload: Drag-and-drop interface with file validation
• OCR Processing: Tesseract.js integration for text extraction
• Data Parser: Extracts health parameters from OCR text
• Results Display: Interactive table and charts
• AI Insights: Status analysis and recommendations

To add support for new health parameters:

1. Add the parameter name to the healthKeywords array in extractHealthData()
2. Define normal ranges and status logic in the parsing function
3. Update the historical data structure if needed

• Client-side processing (no data sent to external servers)
• File type validation
• Secure file handling
• No sensitive data storage

• User authentication and report history
• More sophisticated NLP for better parameter extraction
• Integration with health APIs
• Export functionality (PDF, CSV)
• Mobile app version
• Real-time health monitoring

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

This project is licensed under the MIT License.

For questions or support, please open an issue in the repository.