Medical Recommendation System A Python-based project that leverages machine learning to provide intelligent medical and medicine recommendations based on patient symptoms and medical history.

Features Predicts diseases/conditions based on user symptoms and medical data.

Recommends medicines corresponding to predicted conditions.

Alerts about possible medicine interactions and contraindications.

User-friendly interface for data entry and result visualization.

Feedback mechanism for improving recommendations.

Technology Stack Backend: Python, Scikit-learn, Pandas, NumPy

Frontend: HTML, CSS

Others: Jupyter Notebook, PowerShell, JavaScript

How It Works Users input symptoms or medical information.

The system preprocesses and encodes this input.

A trained machine learning model performs disease/condition classification.

Based on the predicted result, the system recommends appropriate medicine.

Users receive detailed recommendations and can provide feedback.

Usage Clone the repository:

text git clone https://github.com/parasjain238/Medical-recommendation-system Install required dependencies (see requirements.txt).

Run the main Python script or notebook to launch the system.

Results Achieves high accuracy for common diseases and medicines (often above 85% in evaluations).

Supports additional functionality like dietary advice and exercise plans.

Contributing Fork this repository.

Create your feature branch (git checkout -b feature/AmazingFeature).

Commit changes (git commit -m 'Add some AmazingFeature').

Push to the branch (git push origin feature/AmazingFeature).

Open a Pull Request.

License This project is licensed under the MIT License.

Acknowledgements Inspired by advancements in AI-driven healthcare systems.