BloodConnect AI

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  BloodConnect AI home page showcasing the emergency blood donor network, AI features, and live system status.

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  Donors securely register by entering personal and health details to join the emergency blood donor network.

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  Verified QR-based digital donor ID generated for fast, secure identification during blood donation emergencies.

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  Secure login portal allowing only authorized doctors and hospital staff to access the hospital dashboard.

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  Real-time hospital dashboard displaying blood inventory, shortage alerts, SOS controls, and emergency management.

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  QR-based donor check-in system enables hospitals to instantly verify registered blood donors.

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  AI radar displays nearby eligible blood donors within a 10 km radius for faster emergency matching.

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  Nearby donor directory showing blood groups, distance, and availability for rapid emergency response.

Inspiration

Every minute counts during a medical emergency, but finding a compatible blood donor is often slow and difficult. We wanted to build a platform that connects patients, blood donors, and hospitals in real time using Artificial Intelligence and cloud technology to reduce delays and help save lives.

What it does

BloodConnect AI is a cloud-based emergency blood donation platform that enables:

AI-powered matching of nearby eligible blood donors. Real-time blood inventory management for hospitals. Secure hospital login for doctors and authorized staff only. Emergency SOS alerts to notify nearby donors instantly. Donor registration with verification and digital donor cards. Live dashboards for hospitals to manage blood requests and availability.

How we built it

We developed the application using:

React.js for the frontend. Node.js and Express.js for the backend. PostgreSQL hosted on AWS RDS as the database. AWS Cloud services for secure hosting and database management. JWT authentication and bcrypt password hashing for secure hospital login. Git and GitHub for version control and collaboration.

Challenges we ran into

During development, we faced several challenges:

Configuring AWS RDS and securely connecting it to our backend. Implementing role-based authentication for hospital staff. Fixing React JSX syntax and routing issues. Designing a responsive and user-friendly interface. Managing secure database access while keeping the application fast and reliable.

Accomplishments that we're proud of

Built a complete AI-powered blood donation platform. Integrated secure hospital authentication with role-based access. Connected the application to a cloud-hosted PostgreSQL database. Developed real-time blood inventory and emergency SOS features. Created a modern, responsive user interface suitable for real-world use.

What we learned

This project strengthened our understanding of:

Full-stack web development. Cloud deployment using AWS. Database design and management. Secure authentication and authorization. Team collaboration using Git and GitHub.

What's next for BloodConnect AI

We plan to add:

AI prediction for blood demand. Mobile applications for Android and iOS. GPS-based donor tracking. Integration with government blood banks and hospitals. Push notifications, SMS, and email alerts. Multi-language support and analytics dashboards.

Built With

• aws-cloud
• aws-rds-(postgresql)
• bcrypt
• css3
• express.js
• git
• github
• html5
• javascript-(es6)
• jwt-authentication
• node.js
• postgresql
• react.js
• rest
• tailwind-css
• vite