AI – Based Multiple Disease Prediction System
Akshat Kumar
The advancement of Artificial Intelligence (AI) in the healthcare domain has paved the way for intelligent diagnostic tools capable of predicting diseases with remarkable accuracy. This research introduces a unified Multiple Disease Prediction System designed to forecast the likelihood of three significant illnesses— Diabetes, Heart Disease, and Parkinson’s Disease—by analyzing patient-specific health parameters. Developed using Python and deployed through the Streamlit framework, the system utilizes machine learning models trained on relevant medical datasets. A notable feature of this system is the integration of an AI-driven symptom checker powered by Google Gemini API, which interprets user-described symptoms in natural language to provide potential diagnoses. The application aims to enhance accessibility to preliminary health screening and support medical professionals by offering rapid, data-driven insights. Experimental evaluations reveal high prediction precision, affirming the system’s practical effectiveness and potential contribution to intelligent healthcare.