M.A.D.H.A.V.A

Multi-domain Analytical Data Harvesting & Automated Verification Assistant

Overview

M.A.D.H.A.V.A. is an advanced AI-powered assistant that provides intelligent analysis and insights across multiple domains:

• 💰 Finance: Market analysis and investment insights
• 🏥 Healthcare: Medical research and clinical analysis
• ⚖️ Legal: Case analysis and compliance
• 💻 Code Assistant: AI debugging and code review
• 📰 News: Real-time analysis and trend detection
• 🛍️ E-commerce: Market trends and consumer behavior

Features

• Domain-Specific Processing: Tailored analysis for each domain
• RAG Implementation: Advanced retrieval-augmented generation
• Real-time Insights: Instant analysis and recommendations
• Interactive Interface: User-friendly query system
• Scalable Architecture: Built for performance and reliability

Getting Started

1. Clone the repository

git clone https://github.com/yourusername/M.A.D.H.A.V.A..git
cd M.A.D.H.A.V.A.

2. Install dependencies

# Backend
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

# Frontend
cd client
npm install

3. Start the application

# Backend
python main.py

# Frontend
cd client
npm start

Architecture

The application follows a modern microservices architecture:

• Frontend: React.js with modern UI/UX
• Backend: FastAPI with Python
• Database: MongoDB, Redis, Vector Store
• AI: Gemini API integration

Contributing

We welcome contributions! Please read our contributing guidelines before submitting pull requests.

License

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