Inspiration
The inspiration for HealTrack came from the need to provide post-surgery patients and their doctors with a comprehensive, real-time monitoring system to track recovery progress, manage alerts, and facilitate communication.
What it does
HealTrack is a full-stack web application that allows patients to log daily health data such as temperature, pain levels, symptoms, and medication adherence. Doctors can monitor patient alerts, review recovery timelines. The system generates real-time alerts based on patient logs, helping doctors intervene early when necessary.
How we built it
Using the MERN stack: Frontend: React with Vite and TypeScript, styled using Tailwind CSS. Backend: Node.js and Express for APIs, MongoDB for the database. Authentication: Role-based access control. Additional features: File uploads, real-time alert generation, and a responsive, modern UI.
Challenges we ran into
Configuring the MERN stack with Vite and TypeScript. Managing authentication and authorization flows. Integrating Tailwind CSS for consistent styling. Handling file uploads securely. Ensuring smooth communication and data flow between frontend and backend services.
Accomplishments that we're proud of
Successfully implemented a secure authentication system. Built real-time alert generation based on patient logs. Established robust role-based access control. Delivered a responsive, user-friendly UI. Achieved seamless integration across all layers of the stack.
What we learned
Deepened our experience in full-stack development, especially integrating modern tools like Vite with React and TypeScript. Learned to manage complex state and context in React. Gained expertise in building scalable backend APIs with Express and MongoDB. Improved our ability to deliver a minimum viable product.
What's next for HealTrack
Communicate with patients through secure messages. Adding real-time notifications for critical alerts. Enhancing the UI/UX with more interactive charts and dashboards. Developing mobile app versions for broader accessibility. Integrating AI-driven insights to predict patient recovery trends and risks.
Built With
- css3
- express.js
- html5
- java
- mongodb
- node.js
- react
- springboot
- typescript
- vite
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