Inspiration
Worked as a panel beater/autobody repairs for 15 plus years, and that's where the inspiration came from for Rust & Wreck AI. Getting vehicle damage estimates is frustrating — it’s time-consuming, inconsistent, and often overpriced. We wanted to build a tool that empowers both everyday drivers and busy repair shops by using AI to generate fast, accurate repair cost estimates from just a photo.
What It Does:
Rust & Wreck AI is a mobile-first web app that:
- Lets users upload or take a photo of vehicle damage
- Provides an instant, location-based repair cost estimate
- Breaks down labor, parts, and materials
- Allows users to download professional PDF reports
- Helps customers find and rate local body shops
- Enables workshops to list services and earn reviews
Free users get 1 estimate/month. Paid tiers unlock more features and business tools. (Will be added as soon as LLC is setup)
🛠 How We Built It
Rust & Wreck AI was developed using Bolt.new, with a mobile-first layout designed to be fast, clear, and professional — aimed at both casual users and body shop professionals. Our design follows a calming orange-to-blue gradient theme, with rounded fonts and bottom-tab navigation to create a clean, app-like experience that works seamlessly across all screen sizes.
We intentionally built this version without a backend, using **localStorage to manage all user state and estimate history directly on the device. This approach keeps the app lightweight, private, and instantly responsive — no signup or cloud services required to get started.
To generate accurate damage repair estimates, we integrated OpenAI’s GPT-4 API via a Make.com scenario. When a user uploads an image and short description, this data is sent to OpenAI, which returns a structured cost breakdown including part, labor, and total cost — localized based on user location. All estimates are shown instantly and saved locally for easy recall.
The app also includes:
- A simple image upload/camera feature to capture vehicle damage
- A PDF-ready quote layout for professional use and sharing
- Early-stage Stripe integration (not yet activated) to support future monetization tiers
By focusing on local-first logic and AI-driven output, we were able to build and fine-tune a world-first repair estimation tool — all without the need for a traditional backend.
Challenges We Ran Into:
- Making the AI estimate logic accurate across global regions and vehicle types
- Balancing simplicity for casual users with pro features for body shops
- Ensuring PDF downloads were secure, clean, and branded
- Designing a scalable backend that could handle both user and business data
Accomplishments We're Proud Of:
- Created a sleek, professional UI that works on all devices
- Built accurate repair logic that adjusts by country and city
- Designed an app that serves both consumers and workshops
- Implemented working payments, PDF exports, and location-aware search in under a week!
What We Learned:
- How to balance product design between B2C and B2B
- How to structure feature requests and logic in Bolt.new
- Supabase’s power for real-time auth + storage without complexity
- How much potential there is in modernizing old-school industries
What’s Next for Rust & Wreck AI:
- Fine-tune AI estimation using real-world datasets from partner repair shops
- Launch beta in 2–3 regions and onboard early shops for listing and reviews
- Add quote-sharing, multi-language support, and user-built repair logs
- Build an internal dashboard for shops to manage clients and estimates
Built With
- bolt.new
- chatgpt
- gpt4.0
- html/css
- javascript
- make.com
- openai
- pdfmake

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