AI Based Disease Diagnosis Platform

This paper presents the platform for disease detection using artificial intelligence that is designed to aid in the early diagnosis of diabetes, heart disease, and Parkinson's disease. The platform builds machine-learning models using the scikit-learn library to analyse patient data and offer real-time predictions that support clinical decision-making. Several fine-tuned supervised algorithms are trained on publicly accessible datasets, hence ensuring reliable predictions.The platform, built utilizing the Streamlit framework, offers an interactive interface for healthcare providers and patients, enabling users to input relevant information and receive responses in real-time. Additionally, its modular design will further accommodate the possible addition of diseases and functionalities. Designed to promote immediate diagnosis, this solution also seeks to reduce the enormous burden on the healthcare system, emphasizing the potential of artificial intelligence in increasing diagnostic accuracy and accessibility in healthcare.