🏥 Medicine & Drug Interaction Advisor

An AI-powered comprehensive medicine database and drug interaction checker with special focus on Indian medicines and mental health medications. Built with FastAPI, React, and RAG (Retrieval-Augmented Generation) architecture.

🌟 Features

🔍 Comprehensive Drug Database

• 45+ Medications including Indian brands
• 20+ Mental Health Drugs: Antidepressants, Anti-anxiety, Antipsychotics, Mood stabilizers
• Indian Medicines: Crocin, Combiflam, Pan 40, Ecosprin, and more
• Ayurvedic Options: Ashwagandha, Triphala, Tulsi

💊 Advanced Features

• Drug Interaction Checker: Check safety of drug combinations
• Pill Identifier: Identify pills by appearance
• Medicine by Condition: Browse drugs by health condition
• Voice Search: Search medicines using voice
• Price Information: Indian market prices in INR
• Prescription Status: Know which drugs need prescription

🧠 Mental Health Focus

• Comprehensive information on psychotropic medications
• Controlled substance warnings
• Detailed side effects and interactions
• Dosage guidelines

🚀 Quick Start

Prerequisites

• Python 3.8+
• Node.js 14+
• Git

Backend Setup

1. Clone the repository:

git clone https://github.com/yourusername/medicine-drug-advisor.git
cd medicine-drug-advisor

2. Set up Python virtual environment:

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

3. Install backend dependencies:

cd backend
pip install -r requirements.txt

4. Set up environment variables:

cp .env.example .env
# Add your OpenAI API key to .env (optional for enhanced features)

5. Run the backend server:

python enhanced_main.py

The API will be available at http://localhost:8000

Frontend Setup

1. Navigate to frontend directory:

cd ../frontend
npm install

2. Start the development server:

# Open the enhanced HTML file in your browser
open enhanced-index.html  # On Mac
# Or simply double-click the enhanced-index.html file

📋 API Endpoints

Core Endpoints

• POST /query - Process natural language queries about medicines
• POST /check-interaction - Check interactions between two drugs
• GET /drug/{drug_name} - Get detailed information about a specific drug
• GET /mental-health-drugs - List all mental health medications
• GET /search/{category} - Search drugs by category
• GET /all-drugs - Get complete drug list

Example Queries

# Check drug information
curl -X POST http://localhost:8000/query \
  -H "Content-Type: application/json" \
  -d '{"query": "What are the side effects of sertraline?"}'

# Check drug interaction
curl -X POST http://localhost:8000/check-interaction \
  -H "Content-Type: application/json" \
  -d '{"drug1": "alprazolam", "drug2": "alcohol"}'

🧪 Sample Medications

Mental Health Drugs

• Antidepressants: Sertraline (Zoloft), Fluoxetine (Prozac), Escitalopram (Lexapro)
• Anti-anxiety: Alprazolam (Xanax), Clonazepam (Klonopin), Lorazepam (Ativan)
• Antipsychotics: Quetiapine (Seroquel), Olanzapine (Zyprexa), Risperidone (Risperdal)
• Mood Stabilizers: Lithium, Valproate (Depakote), Carbamazepine (Tegretol)

Common Indian Medicines

• Pain/Fever: Crocin, Dolo 650, Combiflam
• Acid/Gastric: Pan 40, Omez
• Antibiotics: Azithral, Augmentin
• Heart/BP: Ecosprin, Amlodipine

🏗️ Architecture

medicine-drug-advisor/
├── backend/
│   ├── enhanced_main.py          # FastAPI application
│   ├── comprehensive_drug_database.py  # Drug database
│   ├── rag_pipeline.py          # RAG implementation
│   ├── vector_db.py            # FAISS vector database
│   └── requirements.txt
├── frontend/
│   ├── enhanced-index.html     # Main UI (dark theme)
│   └── index.html             # Alternative UI
└── README.md

🔧 Technology Stack

• Backend: FastAPI, Python, LangChain, FAISS
• Frontend: HTML5, Tailwind CSS, JavaScript
• Database: In-memory comprehensive drug database
• APIs: FDA OpenFDA, RxNorm (optional)

🚨 Important Notes

Medical Disclaimer

This tool is for educational and informational purposes only. Always consult with qualified healthcare professionals before making any medical decisions.

Controlled Substances

Some medications in the database are controlled substances. These require special prescriptions and have strict regulations.

Data Sources

• FDA approved drug information
• Indian pharmaceutical databases
• Clinical drug interaction databases

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

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

🙏 Acknowledgments

• FDA OpenFDA for drug label data
• RxNorm for drug interaction data
• Indian pharmaceutical companies for drug information
• Open source community for amazing tools

📧 Contact

Your Name - @yourtwitter

Project Link: [[https://github.com/sumankrsh/medicine-drug-advisor]

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⚠️ Medical Disclaimer: This application provides general information only. It is not intended as medical advice. Always consult healthcare professionals for medical decisions.