npx mcpbar@latest edit -c claude

Medical Report Analyzer

A web application that provides medical report analysis, symptoms analysis, and medicine information using AI. The application supports both English and Bengali (বাংলা) languages.

Features

1. Medical Report Analysis

   • Upload medical reports (JPG, PDF)
   • Extract and analyze test results
   • Get health insights and suggestions

2. Symptoms Analysis

   • Describe symptoms in detail
   • Get potential conditions and urgency level
   • Receive immediate steps and precautions

3. Medicine Information

   • Get detailed medicine analysis
   • View usage, side effects, and precautions
   • Personalized information based on age and gender
   • Dosage schedule analysis

4. Bilingual Support

   • Toggle between English and Bengali
   • Instant translation of analysis results

Technologies Used

• Python/Flask (Backend)
• JavaScript/HTML/CSS (Frontend)
• Tailwind CSS (Styling)
• Ollama with deepseek-r1:14b model (AI Analysis)
• Tesseract OCR (Text Extraction)
• Google Translate API (Translation)

Prerequisites

1. Python 3.8 or higher
2. Tesseract OCR installed
3. Ollama with deepseek-r1:14b model

Installation

1. Clone the repository:

git clone <repository-url>
cd medical-report-analyzer

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Install Tesseract OCR:

   • Windows: Download and install from Tesseract GitHub
   • Linux: sudo apt-get install tesseract-ocr
   • Mac: brew install tesseract

5. Install and run Ollama:

   • Follow instructions at Ollama
   • Pull the model: ollama pull deepseek-r1:14b

Configuration

1. Set Tesseract path in app.py:

pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'  # Adjust path as needed

2. Ensure Ollama is running with the deepseek-r1:14b model:

ollama run deepseek-r1:14b

Running the Application

1. Start the Flask server:

python app.py

2. Open a web browser and navigate to:

http://localhost:5000

Usage

1. Analyzing Medical Reports

   • Click "Report Analysis" tab
   • Upload JPG or PDF file
   • View analysis results
   • Optionally translate to Bengali

2. Analyzing Symptoms

   • Click "Symptoms Analysis" tab
   • Describe symptoms in detail
   • Click "Analyze Symptoms"
   • View analysis and recommendations

3. Getting Medicine Information

   • Click "Medicine Info" tab
   • Enter patient age and gender
   • Input medicine name and dosage schedule
   • Click "Analyze Medicine"
   • View detailed medicine analysis

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.