💊 Drug Recommendation System

An AI-powered web application that recommends suitable drugs based on user symptoms or medical data. Built with a Python backend and a modern ReactJS frontend, the system uses machine learning to provide intelligent suggestions for healthcare purposes.

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🚀 Features

• 🤖 AI/ML model to recommend drugs based on symptoms or patient data
• 🧠 Backend powered by Python (Flask / FastAPI)
• 🌐 Frontend built with ReactJS (Tailwind CSS / Material UI optional)
• 🔒 Secure user input handling
• 📊 Model interpretability (optional: SHAP, LIME)
• 📁 Extensible for integration with EHR/EMR systems

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🛠️ Tech Stack

Backend

• Python 3.x
• Flask / FastAPI
• Scikit-learn / TensorFlow / PyTorch (choose one based on your model)
• Pandas, NumPy
• RESTful API

Frontend

• ReactJS
• Axios (for API communication)
• Tailwind CSS / Bootstrap / Material UI (optional)

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⚙️ Setup Instructions

1. Clone the Repository

git clone https://github.com/daveontrack/drug-recommendation.git
cd drug-recommendation

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

pip install -r requirements.txt
python app.py  # or uvicorn main:app --reload if using FastAPI