License: MIT
DrugPredictor is an AI-powered web application built using Django and Machine Learning to suggest the most suitable drug types for patients based on their medical profiles. It uses user input like age, gender, blood pressure, cholesterol levels, and Na-to-K ratio to intelligently recommend a drug type using a trained ML model.
Demo of prediction form:
![DrugPredictor UI]!
- 🧠 Predicts suitable drug types using a machine learning model
- 🌐 Clean, responsive UI designed with Tailwind CSS
- 📋 Collects user input for:
- Age
- Gender (Sex)
- Blood Pressure
- Cholesterol
- Sodium-to-Potassium Ratio (Na_to_K)
- 🎯 Clear result display (highlighted color and icon based on output)
- 🔐 CSRF protection and secure form handling via Django
| Layer | Technology |
|---|---|
| Backend | Django, Python |
| Frontend | HTML, Tailwind CSS |
| ML Model | Trained sklearn model (e.g., DecisionTreeClassifier) |
| Database | SQLite (default) |
git clone https://github.com/04Nitish/DrugPredictor.git cd DrugPredictor