AI Car Maintenance App: Reading Dashboard Lights with Gemini
Most drivers do not know what their dashboard warning lights mean. I built a React Native app that sends a photo to Google Gemini and explains what each light means, how urgent it is and what to do next.
By Wasif Rehman · · Mobile
In short
- Most car owners do not know what their warning lights mean, so they either ignore real problems or overpay for simple fixes.
- Gemini's multimodal capabilities let a phone photo of a dashboard or a tire become the input for an explanation.
- A useful answer goes beyond naming the light: what it means, how urgent it is and what to do next.
- The quote analyzer helps owners judge a repair quote and gives them questions to ask the mechanic.
- Keep Gemini calls on a Node.js backend and compress images first to control API costs and response times.
Why dashboard warning lights confuse car owners
Car maintenance can be confusing, especially when a mysterious light appears on the dashboard. For Prove It Auto, I built an AI-powered mobile app with React Native and Google Gemini to help car owners understand and deal with their maintenance needs.
Most car owners do not know what their warning lights mean. That usually ends one of two ways:
- They ignore a critical issue
- They overpay for a simple fix
The traditional alternatives are manual lookups or expensive diagnostic tools. I wanted the answer to start with a photo from the owner's phone.
What the AI car maintenance app does
The app has three AI features. Each one takes something the owner already has, a photo or a mechanic's quote, and turns it into an explanation they can act on.
| Feature | The user sends | The AI returns |
|---|---|---|
| Dashboard light scanner | A photo of the dashboard | What each visible light means, how urgent it is, and step-by-step next steps |
| Tire inspection | A photo of a tire | Wear patterns, tread depth issues and possible alignment problems |
| Quote analyzer | A repair quote from a mechanic | Whether the pricing is fair, services that may be unnecessary, and questions to ask |
How the AI dashboard warning light scanner works
Users snap a photo of their dashboard. The AI identifies all the visible warning lights and, for each one, explains:
- What it means
- How urgent it is
- What to do next, step by step
The guidance covers both outcomes: a simple fix the owner can handle, or a problem that needs professional attention.
AI tire inspection and repair quote analysis
Beyond dashboard lights, the app analyzes tire condition from photos. It looks for wear patterns, tread depth issues and potential alignment problems, so users know when it is time for a rotation or a replacement.
The quote analyzer is one of the most valuable features. Users upload a repair quote from their mechanic, and the AI:
- Evaluates whether the pricing is fair
- Identifies services that may be unnecessary
- Suggests questions to ask the mechanic
How I integrated Google Gemini with React Native and Expo
I chose Google Gemini for its multimodal capabilities. It can analyze images, which is what the photo features in the app depend on.
The React Native app uses Expo for cross-platform deployment. The app does not call Gemini directly: a Node.js backend handles the Gemini API calls.
- Photo taken in the app
- Image compressed
- Node.js backend calls Gemini
- Explanation and next steps shown
For another Expo app built on Gemini, see PureX: barcode scanning and water quality.
Frequently asked questions
Can AI identify car dashboard warning lights from a photo?
In my app, users photograph their dashboard and Google Gemini identifies the visible warning lights. For each one it explains what it means, how urgent it is and what to do next.
Why use Google Gemini for a car maintenance app?
I chose Gemini for its multimodal capabilities. It can analyze photos of dashboards and tires, which is what the main features need.
Can an app check tire condition from a photo?
The app analyzes tire photos for wear patterns, tread depth issues and potential alignment problems, and tells users when it is time for a rotation or a replacement.
How does the repair quote analyzer work?
Users upload a quote from their mechanic. The AI evaluates whether the pricing is fair, identifies services that may be unnecessary and suggests questions to ask the mechanic.
How do you keep Gemini API costs down in a mobile app?
Images are compressed before they are sent for analysis, which cuts API costs and response times. The Gemini calls go through a Node.js backend rather than straight from the app.
Case study: Prove It Auto