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Research Paper | Computer Science | Volume 15 Issue 4, April 2026 | Pages: 1499 - 1502 | India
Vehicle Damage Detection and Repair Cost Estimation System
Abstract: The system applies deep learning (using YOLO/CNN models) to identify and classify vehicle damages such as dents, scratches, and broken parts from accident images. It automatically estimates repair costs based on detected damage severity and part type, referencing a predefined pricing chart. Deployed as a Flask-based web interface, the software supports use by insurance firms, repair workshops, and vehicle owners, enabling faster and more transparent cost assessments.
Keywords: Face Recognition, OTP Authentication, Voting Security, Biometric Verification, Fraud Detection, Django, OpenCV
How to Cite?: Mekha S Nair, Preethi Thomas, "Vehicle Damage Detection and Repair Cost Estimation System", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1499-1502, https://www.ijsr.net/getabstract.php?paperid=SR26422105638, DOI: https://dx.doi.org/10.21275/SR26422105638