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I will build ai vehicle damage detection for insurance claims
Mujeeb
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About this gig
Your adjusters are spending 3 days per claim on something a camera and AI can do in 10 seconds. Worse, human assessors miss damage, get argued with, and create liability. AI doesn't.
I build vehicle damage detection systems that analyse photos of any vehicle, classify damage by type, location, and severity, and generate a structured assessment report instantly.
What the system delivers:
- Damage detection: dents, scratches, cracks, structural deformation
- Panel-level location mapping (hood, door, bumper, fender, roof)
- Severity classification (cosmetic/moderate / severe)
- Confidence scores per damage region
- Structured JSON output + PDF assessment report
- REST API for integration into your claims/fleet platform
- Mobile-friendly photo capture workflow (web or app)
- Before/after comparison for pre-existing damage flagging
Built for: motor insurance companies, fleet operators, rental car companies, lease return platforms, used car dealerships, and roadside assistance services.
One photo. 10 seconds. A defensible damage report.
Get to know Mujeeb
Mujeeb
Develop your product with PERFECTION
- FromPakistan
- Member sinceJul 2024
- Avg. response time1 hour
- Last delivery3 weeks
Languages
Hindi, English, Spanish, German
I specialize in AI/ML with skills in computer vision and Agentic model deployments. Working since 2022, I have built websites & Mobile apps, optimized performance, and fixed bugs. From requirement engineering to deployment of your project, I am your go-to option.
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FAQ
How many images per vehicle does the system need?
For reliable detection, 8–12 photos covering all panels (front, rear, sides, roof, underbody if required). I configure the guided photo workflow to prompt the user through each angle.
How accurate is the damage detection?
On a well-annotated vehicle damage dataset (which I can source and train from): 87–93% mAP for damage detection, 84–90% for severity classification. Full evaluation report included
Can it detect pre-existing damage to prevent fraud?
Yes. The Scale package includes a before/after comparison module that flags damage appearing between two inspection sessions — key for rental and fleet fraud prevention.
What format is the damage report output?
Structured JSON (for API consumers) and a PDF report with annotated vehicle diagram, damage table, severity scores, and timestamp. Both included from the Growth package up.
