


Project
Hospital Management System with Disease Detection and Appointment Booking
Year
2024
Service
Full-Stack Web Development + Machine Learning Integration
Smart Hospital System
Project Overview
This project is a full-stack Hospital Management System integrated with a machine learning-based disease detection module. Patients can input symptoms to get possible diagnoses and book or manage appointments with doctors. The system includes role-based access for patients, doctors, and admins to handle hospital tasks like scheduling, patient records, and availability. Built using React.js, Node.js, MongoDB, and ML tools, it aims to streamline healthcare services digitally and intelligently.
Project Overview
This project is a full-stack Hospital Management System integrated with a machine learning-based disease detection module. Patients can input symptoms to get possible diagnoses and book or manage appointments with doctors. The system includes role-based access for patients, doctors, and admins to handle hospital tasks like scheduling, patient records, and availability. Built using React.js, Node.js, MongoDB, and ML tools, it aims to streamline healthcare services digitally and intelligently.



The Problem
Hospitals often face delays in diagnosis and appointment scheduling, leading to inefficiencies and poor patient experience. There's also a lack of smart systems that assist patients in understanding their symptoms early.
The Problem
Hospitals often face delays in diagnosis and appointment scheduling, leading to inefficiencies and poor patient experience. There's also a lack of smart systems that assist patients in understanding their symptoms early.
The Solution
A web-based Hospital Management System with integrated disease detection and appointment booking. Patients can input symptoms for possible diagnosis and easily schedule appointments, while doctors and admins manage operations through a streamlined interface.
The Solution
A web-based Hospital Management System with integrated disease detection and appointment booking. Patients can input symptoms for possible diagnosis and easily schedule appointments, while doctors and admins manage operations through a streamlined interface.












The Result
An intelligent, user-friendly system that improves hospital workflow, speeds up the diagnosis process, and enhances convenience for both patients and medical staff.
The Result
An intelligent, user-friendly system that improves hospital workflow, speeds up the diagnosis process, and enhances convenience for both patients and medical staff.


