Multiple Disease Prediction System: An ML-based tool for early disease detection (Diabetes, Heart, Parkinson’s, Liver, Hepatitis, Lung Cancer, Kidney, Breast Cancer). Uses a Streamlit interface with trained models (.sav, .json) for risk prediction. Includes a Healthcare Chatbot for assistance.

This project is created using Decision Tree Classifier Model of ML

Machine Learning-based Multiple Disease Prediction Web App built with Python & Streamlit. Predicts diabetes, heart disease, lung cancer, and general diseases using trained ML models with an interactive UI for real-time health insights.

Multi-Disease Prediction Web App — A Streamlit-based ML app that predicts five diseases (Diabetes, Breast Cancer, Lung Cancer, Heart Disease, Parkinson’s) using separate trained models. Includes a clean, responsive UI, structured input forms, and real-time diagnosis results with accuracy evaluation.

This Streamlit app predicts diseases like Lung Cancer, Obesity, and Blood Pressure using trained ML models. It includes user login, prediction history, health tips, and PDF report generation. The system uses a SQLite database for secure data storage with features like dark mode and session timeout.