Author(s) :

Akshat Kumar .

Volume/Issue :

Abstract :

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.

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