Multiple Disease Prediction System

The Multiple Disease Prediction Bot is a machine learning model designed to predict up to 41 different diseases based on input symptoms. The model is trained on a dataset with approximately 131 parameters and utilizes three different training models: Support Vector Machine (SVM), Random Forest (RF), and Naive Bayes (NB).

GitHub repo link: - Multiple Disease Prediction system

Deployed model at render: -Poly Disease Predictor

bayes bot dataset disease diseases github github repo machine machine learning machine learning model multiple parameters prediction python random support svm training training models vector