Paper Contents
Abstract
Healthcare is fundamental to human well-being. With the rise of AI, especially in Machine Learning (ML) and Deep Learning (DL), healthcare systems have gained powerful tools for disease prediction. However, most models focus on a single disease. This study proposes a multi-disease prediction system using a unified interface that diagnoses conditions such as Diabetes, Heart Disease, Kidney Disease, Parkinsons, Liver Disease, Brain Cancer, and Breast Cancer. The system integrates MLDL models, a generative AI-powered chatbot, and a web application built with Flask. Experimental evaluation shows high accuracy, making the system effective for early diagnosis and proactive health management.
Copyright
Copyright © 2025 Guntreddi Jaswanth. This is an open access article distributed under the Creative Commons Attribution License.
