AI-Based Donor Connect Platform using Blood Type Matching and Real-Time Emergency Location Detection

AI-Based Donor Connect Platform using Blood Type Matching and Real-Time Emergency Location Detection Kanna Deepa Department of Computer Science and Engineering, Vels Institute of Science, Technology &Advanced Studies (VISTAS), Chennai, India Aarthy C Department of Computer Science and Engineering, Vels Institute of Science, Technology &Advanced Studies (VISTAS), Chennai, India Mr. N. Udaya Kumar Department of Computer Science and Engineering, Vels Institute of Science, Technology &Advanced Studies (VISTAS), Chennai, India M.E., Ph. D Department of Computer Science and Engineering, Vels Institute of Science, Technology &Advanced Studies (VISTAS), Chennai, India

This project proposes an AI-based Donor Connect Platform to help patients quickly find suitable blood donors during emergency situations. The system stores donor details such as blood group, contact number, location, and availability in a central database. It is developed using web technologies like HTML, CSS, and JavaScript for the frontend and Python with Flask for the backend, with MySQL used as the database for storing user and donor information. When a blood request is made, the system matches the required blood type with compatible donors and uses real-time GPS and Google Maps API to find the nearest available donors. Instant alerts are sent through SMS or mobile notifications so that donors can respond immediately. The platform requires a computer or smartphone with internet access, GPS support, and an SMS or notification service. By combining blood type matching, location tracking, and automatic communication, this system reduces search time and improves the chances of saving lives during medical emergencies. The system ensures data security and privacy of donors and patients through controlled access. It provides a user-friendly interface that can be easily used by non-technical users. The platform is scalable and can be extended to support hospitals and blood banks. It minimizes manual intervention, reducing human errors. The system can be enhanced in the future with mobile app support and advanced AI prediction
03 28 2026 10.15662/IJEETR.2026.0802042 https://ijeetr.com/index.php/ijeetr/article/view/417