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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68584
Volume:
10 |
10 |
Oct 2026
Pages:
1-13
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computer science and engineering
Adhiyamaan college of engineering
Computer science and engineering
Adhiyamaan college of engineering
Computer science and engineering
Adhiyamaan college of engineering
Computer science and engineering
Adhiyamaan college of engineering
When a patient needs blood after an accident, during surgery or in a childbirth complication, the family usually starts a chain of phone calls, social-media posts and messages to find a donor of the right blood group who is close enough to reach the hospital in time. The information is scattered and often out of date, and nobody can tell who has seen the request or who is coming. The Blood Donor Management System, named LIFE LINK, is proposed to bring this into one platform. A donor registers with a blood group, a location and an availability flag. A hospital or organisation raises an emergency request with the blood group, the units, the hospital location and an urgency label (Critical, Urgent or Standard). The system selects the available donors of that group within a configured radius of the hospital, 8 km in the prototype, and stores a notification for each; a donor sees only the matching open requests, nearest first. Donor, organisation and admin users sign in through separate role-based portals, and each donation is kept in a history. The system is built with an HTML, CSS and JavaScript front end, a Node.js and Express back end reached through REST requests, and a MongoDB database; passwords are hashed with bcrypt and tokens expire. The prototype was demonstrated through its sign-in, donor, organisation and admin screens. Response times, matching accuracy and user satisfaction have not yet been measured and are reported as limitations. Blood group matching only organises information: eligibility and compatibility must be confirmed by medical staff.
KEYWORDS
The Blood Donor Management System, LIFE LINK, joins the donor record, the emergency request, the location-based selection of donors, the notification and the donation history into a single workflow. By keeping all of them in one database and offering a separate portal to each role, it replaces scattered messages with a structured request that a donor can read at a glance: the blood group, the units, the hospital, the distance and the urgency. The prototype is built with HTML, CSS and JavaScript, Node.js with Express, and MongoDB, and was demonstrated through its sign-in, donor, organisation and admin screens. The measurements of matching accuracy, response time and usability are the next thing to prove. The next steps are to carry out the three experiments in Section VII, to align the donor sign-in with a one-time password and add a role check on request creation, to implement the staged dispatch rounds and urgency-based ordering in the back end, to add push, SMS or email alerts, to add interactive maps, to connect with authorised hospitals and blood banks with donor and request verification, to send donation reminders based on medical guidance, to provide a mobile or progressive web application, and to move the system from a development environment to a secured, hosted deployment.
[1] World Health Organization, “Blood safety and availability,” Fact sheet. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/blood-safety-and-availability [2] T. Kala, “A Location-Based Blood Donor Locator System Using Intelligent Matching Methodology,” Int. J. Innov. Res. Comput. Technol., 2023. [Online]. Available: https://www.ijirct.org/viewPaper.php?paperI d=2603013 [3] V. Kamble, G. Chaudhari, and P. Thakur, “Location Based Blood Donor Finding System,” Int. J. Res. Appl. Sci. Eng. Technol., 2024, doi: 10.22214/ijraset.2024.63514. [4] B. A. Adeleke, A. A. Awoseyi, and K. O. Ojetunde, “A Geolocation-Integrated Emergency Blood Donation Response System (GI-BDERS),” Zenodo, Nov. 2025, doi: 10.5281/zenodo.17607941. [5] B. M. Nandini, S. B. Sharmila, A. Samantri, A. G., K. Bhat, and N. C. Nagarjun, “BloodConnect: Proximity Based Blood Donation Network with Real-Time Alerts and Tracking,” J. Sci. Ind. Res., vol. 84, no. 12, pp. 1291–1300, Dec. 2025, doi: 10.56042/jsir.v84i12.20668. [6] J. C. Nwaukwa, E. C. Isok, M. I. Adaora, and I. Izegbu, “Blood Donation Management System using K-Nearest Neighbor,” J. Appl. Comput. Sci. Math., 2023, doi: 10.4316/JACSM.202302002. [7] K. Deepa, C. Aarthy, and N. Udaya Kumar, “AI-Based Donor Connect Platform using Blood Type Matching and Real-Time Emergency Location Detection,” Int. J. Eng. Extended Technol. Res., 2026, doi: 10.15662/IJEETR.2026.0802042. [8] R. Nithya and R. Maheshwari, “Blood Donation Management System Using Data Driven Matching,” Int. J. Res. Academic World, 2026. [Online]. Available: https://academicjournal.ijraw.com [9] G. Maji, S. Ghosh, A. Banerjee, A. Banerjee, and P. Ghosh, “Location Aware Blood Management System for Donation Camps and Emergency Demands,” Trans. Indian Natl. Acad. Eng., 2026, doi: 10.1007/s41403-026-00584-4. “Smart Blood Inventory and Real-Time Donor Clustering and Geospatial Visualization,” Int. J. Novel Trends Innov., 2026. [Online]. Available: https://rjpn.org/IJNTI/viewpaperforall.php?p aper=IJNTI2603118
Publication Date
10/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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