AI-Powered Vehicle Damage Auditing
Upload vehicle exterior photos, execute deep learning classification scans instantly, and generate structured repair cost audits in Indian Rupees (₹) with claim readiness indicators.
Features
Streamlined AI Inspections & Diagnostics
- Computer Vision Analysis
Processes uploaded panel photos using convolutional layers to classify dent and scratch defects instantly.
- Severity & Risk Profiling
Automatically gauges damage severity (Low, Moderate, High) and assesses driving roadworthiness risks.
- Detailed Inspection Reports
Generates professional reports including health index scores, INR repair costs, and required claim documents.
Operational Workflow
How ValidAuto Inspection Works
Upload Exterior Image
Select a clear JPG/PNG photo of the vehicle panel or collision impact site.
Neural Scan
MobileNetV2 processes the image in milliseconds to isolate body abnormalities.
Automatic Report
System compiles cost estimates in INR (₹), health indices, and document checklists.
Download PDF & Log
Export an official audit sheet instantly and access historical scans under browser logs.
AI Inference Pipeline
Machine Learning Diagnostic Architecture
ValidAuto utilizes deep transfer learning with an ImageNet pre-trained MobileNetV2 feature extractor. This architecture allows rapid bottleneck feature compilation and high-accuracy classification without requiring massive local resources.
Technology Stack
Evaluation Metrics
Trained Classifier Accuracy
Validated on the official Kaggle vehicle damage classification split (920 images per class)