DiagnoStat : Multiple Disease Prediction Web App

• Developed a web application that aims to provide users with accurate and personalized predictions about their health conditions by implementing Machine Learning algorithms, deployed using Streamlit cloud. This web app predicts whether a person has Heart, Diabetes or Parkinsons disease using data entered by user.
• Accomplished an average accuracy of 93.83%.

Link of Website Application : https://diagnostat.streamlit.app/

Dataset :

• Heart : https://www.kaggle.com/datasets/johnsmith88/heart-disease-dataset
• Diabetes : https://www.kaggle.com/datasets/mathchi/diabetes-data-set
• Parkinsons : https://www.kaggle.com/datasets/thecansin/parkinsons-data-set

Best Accuracy Scores :

• Heart : 0.9853
• Diabetes : 0.9427
• Parkinsons : 0.9017