🩺 Medical Diagnosis System

This project is an AI-powered medical diagnosis system that helps identify potential diseases based on symptoms, test results, and patient history. It's designed to support healthcare professionals and serve as an educational tool.

🧠 Features

• ✅ Symptom-based disease prediction
• ✅ Machine learning models trained on public health datasets
• ✅ RESTful API for integration with other systems
• ✅ User-friendly interface for patient data input
• ✅ Visual output for diagnosis and recommendations

🛠️ Tech Stack

• Backend: Python (Flask/FastAPI)
• ML Libraries: Scikit-learn, TensorFlow, Pandas
• Frontend: HTML/CSS (optional UI)
• API Testing: Postman

📊 Machine Learning Models

The system uses various models, including:

• Decision Trees
• Random Forest
• Support Vector Machines
• Neural Networks

🖼️ Screenshots

🏠 Home

📝 Form

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