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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48013
Volume:
9 |
5 |
May 2025
Pages:
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.
Effective damage assessment is essential in light of the growing number of vehicles and accidents. Insurance claims and repairs are delayed by the lengthy, subjective, and error-prone nature of traditional manual techniques. To solve these problems, this project presents a web application driven by AI. When users upload pictures of damaged cars, the system uses computer vision to identify the damaged areas and categorize the damage, such as dents, scratches, or fractures. It makes precise cost estimates by utilizing a dynamic database of repair costs according to vehicle type and location. Users can easily download or share a comprehensive report that includes cost breakdowns and annotated photos. The technology, which cuts processing time from days to minutes, is based on scalable cloud architecture and guarantees speed, consistency, and accessibility.
KEYWORDS
Publication Date
5/15/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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