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JeevanLink: AI-Based Urgent Blood Match and Alert System

1Saniya Afzali, 2Shanthi Kumar Dasari, 3Dr. V. Neelima, 4Mahalaxmi Aourneni, 5Akshay Bollu, 6Vinil Garrepelli

Department of CSE (Artificial Intelligence & Machine Learning), Jyothishmathi Institute of Technology and Science, Karimnagar, Telangana,

India

saniyaafzali2004@gmail.com, mahalaxmirao02@gmail.com, 22271a6606akshay@gmail.com, vinilgarrepelli@gmail.com

Abstract—Timely access to blood during emergencies remains a critical challenge due to fragmented donor databases, lack of real-time coordination, and delayed communication mechanisms. This paper presents JeevanLink, a mobile-cloud system for emergency blood matching and intelligent alerting. The system leverages Flutter for cross-platform mobile development, Supabase for real-time PostgreSQL database management, Firebase for authentication and push notifications, MSG91 for OTP-based phone verification during registration, and Google Maps APIs for location-aware geospatial donor matching. Donors are prioritized through a rule-based intelligent filtering mechanism evaluating blood group compatibility, geographic proximity, real-time availability, and urgency level. The system incorporates a phased multi-channel alert escalation pipeline, live GPS donor tracking, and an AI-driven chatbot for user onboarding and guidance. Experimental evaluation demonstrates significantly reduced time-to-first-donor-contact, improved donor engagement, and reliable real-time synchronization. A comparative analysis confirms JeevanLink’s superiority over existing platforms across six critical functional dimensions. Keywords—Blood Donation; Emergency Healthcare; Flutter; Supabase; Firebase; Real-Time Alert System; Geolocation; Mobile Health; Donor Matching; Cloud Computing.