AI-Driven, Full-Stack Blood Donation Management System for Self-Sustaining, Efficient, and Scalable Healthcare in India

. Despite the importance, blood donation and its management still confound India’s health care ecosystem in a number of ways: Fragmented infrastructure, low donor retention resulting in low stock availability and reactive logistics. In this paper, we present a novel AI driven full stack blood donation management system intended to make the healthcare operations self-sustained, efficient and scalable. The system, which encompasses privacy preserving predictive analytics via federated learning, AI powered demand forecasting and smart emergency routing enhances the blood supply chain optimization. In order to enhance donor engagement and also include urban and rural populations the gamified user interface and multilingual support were added. The experimental results indicate that we can achieve a 37% decrease in the fulfilment time, 58% reduction in the inventory shortages, as well as a better forecast for the demand. This architecture shows high potential of national scalability and becomes a transformative approach to digital health logistics in emerging economies.