🏥 Medicine Recommendation System

A Machine Learning-powered web application that predicts diseases based on symptoms and recommends appropriate medicines.
Built with ❤️ using Python, Flask, and Scikit-learn.

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✨ Features

✅ Predicts possible diseases from user-selected symptoms
✅ Recommends appropriate medicines for predicted diseases
✅ Clean and interactive web interface (Flask + HTML/CSS)
✅ Machine Learning models trained and compared for best performance
✅ Deployed online and accessible to all

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🧰 Tech Stack

Category	Technologies Used
Backend	Python, Flask
Machine Learning	Scikit-learn, Pandas, NumPy
Frontend	HTML, CSS
Deployment	Render

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📂 Project Structure

Medicine-Recommendation-System/
├── kaggle_dataset/                  # Dataset files (Training, Symptoms, Medicines)
├── model/                           # Trained machine learning model
├── static/                          # Static files (images, CSS)
├── templates/                       # HTML templates (for Flask)
├── EDA_ModelComparison_RF.ipynb     # Exploratory Data Analysis & model comparison
├── disease_prediction_system.ipynb  # Notebook for building the prediction system
├── main.py                          # Flask application file
├── requirements.txt                 # Python dependencies
└── README.md                        # Project documentation

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🚀 Getting Started Locally

Prerequisites

• Python 3.8+
• pip

Steps

1. Clone the repository

git clone https://github.com/ShamScripts/Medicine-Recommendation-System.git

2. Navigate to project folder

cd Medicine-Recommendation-System

3. Install required dependencies

pip install -r requirements.txt

4. Run the application

python main.py

Access

Open your browser and visit:
http://127.0.0.1:5000

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🌐 Live Demo

Access the live project here:
👉 HealthCareAI

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📊 Machine Learning Workflow

• Dataset cleaning and preprocessing
• Feature engineering and encoding
• Model training and evaluation (Random Forest, SVM, Naive Bayes)
• Model selection based on accuracy and performance metrics
• Saving the best model and integrating into Flask app

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🧪 Test Cases

Input Symptoms	Predicted Disease	Recommended Medicines
Fever, Cough, Headache	Common Cold	Paracetamol, Antihistamines
Chest Pain, Shortness of Breath	Heart Attack	Aspirin, Nitroglycerin
Fatigue, Frequent Urination	Diabetes	Metformin, Insulin

✅ Handles multiple symptoms
✅ Handles no symptom input (shows warning)
✅ Handles edge cases

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🛠 Future Enhancements

• Expand database to include more diseases and symptoms
• Add severity-based recommendations
• Improve UI/UX (multi-language support, better form controls)
• Mobile-friendly design
• Integrate chatbot assistant for health queries

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📜 License

This project is intended for educational purposes only.
Please consult a certified doctor for actual medical advice.

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🤝 Connect With Me

• GitHub: ShamScripts
• LinkedIn: Shambhavi Jha

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🔥 Thank you for visiting!