Med Guardian AI-Powered Early Disease Prediction System

Yazhini M; Mari Subbulakshmi S

Med Guardian AI-Powered Early Disease Prediction System

Author(s)	Yazhini M, Mari Subbulakshmi S
Country	India
Abstract	Early detection of chronic illnesses like diabetes and heart disease is a significant problem for today's healthcare systems because delayed diagnosis frequently leads to serious complications and higher medical expenses. The Med Guardian: Al-Powered Early Disease Detection System project uses machine learning algorithms to forecast the probability of diabetes based on patient data and clinical signs. Python, Scikit-learn, and Pandas are used in the system's development to create models, while Django is used as the web application framework. patients or healthcare professionals can enter demographic information and medical symptoms through an intuitive web interface that incorporates the trained model. Real-time predictions are created and saved in a PostgreSQL database, allowing for additional analysis and Power BI dashboard presentation. Med Guardian shows how data science may improve clinical decision-making and facilitate early action by fusing Al-driven prediction, safe data storage, and interactive visualization. In order to develop easily accessible, scalable, and precise disease risk assessment tools, the project emphasizes the significance of incorporating artificial intelligence into healthcare systems. This study not only demonstrates the technological feasibility of employing Al in healthcare, but it also emphasizes its social importance in resource-constrained environments. By enabling early detection utilizing readily available technologies, Med Guardian can improve patient outcomes, ease the burden on healthcare systems, and advance data-driven medical research. This research can be extended in the future by incorporating additional disease datasets, enhancing model accuracy, and interfacing with hospital administration systems for real-world application.
Keywords	Artificial Intelligence, Machine Learning Early Disease Detection
Field	Computer
Published In	Volume 17, Issue 1, January-June 2026
Published On	2026-05-17
Cite This	Med Guardian AI-Powered Early Disease Prediction System - Yazhini M, Mari Subbulakshmi S - IJAIDR Volume 17, Issue 1, January-June 2026.

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Journal of Advances in Developmental Research

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Med Guardian AI-Powered Early Disease Prediction System

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