MediEase

MediEase was my Final Year Project (FYP) — a multi-platform doctor management system designed to improve healthcare workflows through web, mobile, and predictive analytics integration.

The platform comprised three main modules: a web application built with Next.js serving as the control panel for admin and doctor management; a React Native mobile app for patients and doctors to track health metrics, communicate, and receive follow-ups; and a Python-based machine learning module that generated basic suggestions for medications, diet plans, and exercise routines, served via a Flask API.

Patients could input health metrics such as blood pressure and sugar levels, which were used by the ML models for predictive recommendations. The chat module facilitated direct interaction between patients and doctors, enhancing engagement and continuity of care.

This project provided hands-on experience across full-stack development, mobile development, and machine learning integration, demonstrating the creation of a cohesive, real-world healthcare system.