
Disease Prediction System
A machine learning-powered web application that predicts diseases from symptom inputs using multiple classification models. Designed with an interactive Streamlit interface, it enables model evaluation, performance comparison, and reliable predictions through ensemble voting.
- Built disease prediction models with Decision Tree, Random Forest, Naive Bayes, KNN, and Ensemble Voting.
- Compared model performance using standard classification metrics.
- Created a Streamlit dashboard for real-time disease prediction.


