Current Volume 9
Blood donation shortages and donor under-recruitment remain critical public health challenges in India. Voluntary donors provide only a fraction of the required blood supply, and studies show that even well-informed populations may fail to donate due to logistical and motivational barriers. We present a novel web-based platform tailored to Tamil Nadu’s needs – with 38 districts and 388 rural panchayat unions – that integrates multiple advanced features. The system offers a searchable donor registry filtered by district and union, a bilingual (Tamil/English) interface, emergency blood-request coordination, and an AI/NLP chatbot for user support. Privacy-preserving two-step verification (Aadhaar or face image upload + email OTP) is enforced, including an ML-based matching of selfies against Aadhaar profile photos for identity validation. Automated email alerts (via Google Apps Script) notify donors of urgent needs, and Google Sheets serve as the cloud database. In early testing the platform achieved rapid donor mobilization, reducing the time to notify nearby donors. These results align with prior findings that digital donor systems and chatbots improve recruitment and efficiency. The project underscores the potential of technology to raise public awareness and streamline emergency response in Tamil Nadu.
Blood Donation, Tamil Nadu, AI Chatbot, Bilingual Interface, Aadhaar Verification, Google Apps Script, Google Sheets, Emergency Management, Privacy-Preserving.
IRE Journals:
A. Mukesh, K. Sanjai, M. Muthukumar "An AI-Enhanced Bilingual Web Application for Blood Donation and Emergency Response in Tamil Nadu" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 1788-1796 https://doi.org/10.64388/IREV9I11-1717803
IEEE:
A. Mukesh, K. Sanjai, M. Muthukumar
"An AI-Enhanced Bilingual Web Application for Blood Donation and Emergency Response in Tamil Nadu" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717803