International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | LifeFlow |
|---|---|
| ABSTRACT | Blood availability remains a critical challenge in India due to population density, regional imbalances, lack of real-time donor data, and delays in emergency response. Traditional blood bank systems are often centralized, manually operated, and inefficient in identifying suitable donors during urgent medical situations. LifeFlow India is a web-based blood bank management system designed to address these challenges by integrating artificial intelligence-based donor matching, region-specific filtering, and a user-friendly digital platform tailored for Indian conditions. The system enables blood donors to register with essential details such as blood group, city, and contact information, while patients or hospitals can request blood based on urgency and location. An AI-inspired matching algorithm ranks donors using parameters such as blood group compatibility, geographical proximity, and availability, ensuring faster and more reliable donor identification. The application is developed using modern web technologies including HTML, CSS, JavaScript, and lightweight client-side logic, making it accessible across devices with minimal infrastructure requirements. LifeFlow India demonstrates how intelligent automation and region-aware design can significantly improve emergency blood donation workflows, reduce response time, and potentially save lives. The project highlights the role of AI-assisted systems in strengthening healthcare support services in developing regions like India. |
| AUTHOR | KOKARE VAGHU, KHAN AAYAN, MULIK AKASH, NAIK SHREYASH, P.D.KATE SIR Diploma Students, Department of Computer Engineering, Yashwantrao Bhonsale Institute of Technology, Sawantwadi, Maharashtra, India Department of Computer Engineering, Yashwantrao Bhonsale Institute of Technology, Sawantwadi, Maharashtra, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401080 |
| pdf/80_LifeFlow.pdf | |
| KEYWORDS | |
| References | 1. Sharma, R., et al. (2022). Challenges in Blood Bank Management Systems in India. IJHIS. 2. Patel, A., & Mehta, S. (2023). Web-Based Healthcare Platforms in Developing Countries. IEEE Access. 3. Kumar, N., et al. (2023). AI Applications in Emergency Healthcare Systems. Springer. 4. Singh, P., & Rao, M. (2024). Region-Aware Digital Health Solutions. Elsevier. 5. WHO (2023). Global Blood Safety and Availability Report. |
