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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: November 2025
Volume 10 | Issue 11
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 114
Article Submitted : 18568
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| Paper Title: | Using AI To Enhance Blood Bank Management System |
| Authors Name: | Ashutosh kumar , Ayushi Sinha , Aman singh , Hitik Bhandari |
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IJRTI_188506
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| Published Paper Id: | IJRTI2311072 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| Abstract: | The incorporation of Artificial Intelligence into blood bank systems holds the potential to revolutionize and enhance the efficiency of blood donation processes. Existing blood bank systems often face challenges in optimizing donor outreach and maintaining an up-to-date inventory. Our initiative aims to tackle these issues by leveraging AI algorithms to analyze donor data, predict donation trends, and streamline inventory management. By harnessing the power of AI, our system seeks to ensure a more accurate and timely response to blood supply demands. Utilizing AI analytics, our project aims to provide a comprehensive understanding of donor behavior, enabling blood banks to tailor their outreach strategies. The current methods for donor engagement may fall short in capturing the complete picture, but with AI assistance, we can gain insights into donor preferences, habits, and potential future contributions. This data-driven approach not only helps in building a more engaged donor community but also contributes to the overall efficiency of the blood bank operations. This dynamic approach ensures that blood banks can proactively address challenges such as seasonal fluctuations, emergencies, and specific blood type shortages. By integrating AI into blood bank systems, we strive to create a more responsive and agile infrastructure that ultimately improves the accessibility and availability of blood products for those in need. |
| Keywords: | Artificial Intelligence, BloodBanks,Donor Engagement ,Inventory Management , Data-Informed Approach |
| Cite Article: | "Using AI To Enhance Blood Bank Management System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 11, page no.544 - 548, November-2023, Available :http://www.ijrti.org/papers/IJRTI2311072.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2311072
Registration ID:188506
Published In: Volume 8 Issue 11, November-2023
DOI (Digital Object Identifier):
Page No: 544 - 548 Country: solapur, maharastra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2311072 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2311072 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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