Volume 2 - Issue 3, May - June 2026

Organ donation plays a vital role in modern healthcare by providing life-saving treatment to patients with organ failure. However, traditional organ allocation systems often suffer from fragmented medical records, manual coordination, and communication delays, which reduce the efficiency and timeliness of transplant decisions. To overcome these limitations, this project proposes an AI-based organ donation and organ matching system that integrates intelligent automation and user-friendly digital services within a unified platform. The system digitizes donor registration and hospital organ requests through secure authenticated access, ensuring accurate and centralized storage of medical and demographic information. Organ compatibility is determined using the Random Forest algorithm, which analyzes multiple parameters such as blood group, tissue type, age, medical urgency, geographic distance, and patient history to generate compatibility scores and rank the most suitable donor–recipient pairs. This approach provides high accuracy, stability with incomplete clinical data, and reliable real-time performance. In addition, the platform incorporates an AI chatbot to assist donors, patients, and hospital staff by answering enquiries related to organ donation procedures, eligibility criteria, registration steps, organ availability, and application status. The chatbot reduces administrative workload while enabling 24/7 access to essential information. To enhance security and transparency, the system integrates a Private Blockchain to record all organ donation activities. Each transaction, including registration, matching, and approval, is stored as an immutable block, ensuring tamper-proof records and traceability. Access is restricted to authorized users, maintaining privacy and accountability. The system further includes role-based access control, real-time notifications, and an administrative dashboard for monitoring donation trends, allocation status, and system performance. By automating workflows, improving matching accuracy using Random Forest, enhancing communication through AI-driven assistance, and ensuring secure transaction recording using Private Blockchain, the proposed solution significantly reduces allocation delays, increases transparency, and strengthens the overall effectiveness of organ donation management.

R.Ramakrishnan, A.Madhavan,"AI-Enabled Healthcare Platform for Organ Donation and Transplant Matching" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(3): Page(668-672) May-June 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.