Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In India, during the past many years, there have been cases of road Accidents, hence nearby 40% to 50% lives are lost due to unavailability of blood in time. During this climacteric situation the system aims to identify blood type precisely and quickly which is impossible till the patient reaches the hospital. Our system saves that time and finds a correct result in a few minutes using image classification algorithms, cnn for blood group detection. And also the system provides a platform for the victim (patient) to find available donors at the right time in emergency situations by broadcasting, fetching data from nearby hospitals, clinics, dispensaries, etc.
"Blood Detection and solution for Accidental Victims", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1267 - 1270, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304206.pdf
Downloads:
000205253
ISSN:
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