Inspiration
Most drivers struggle to understand what's wrong with their vehicles β especially when vague symptoms arise. Workshop visits can be expensive and time-consuming, and Googling symptoms often leads to confusing results.
ROSAK.MY was built to make car diagnostics as simple as chatting with a friend. No jargon. No complicated tools. Just type what youβre experiencing, and get fast, clear suggestions powered by AI.
What it does
π§Ύ AI-Powered Symptom Analysis Users type in a car issue (e.g., βmy car makes a clicking noise when I turnβ), and ROSAK.MY suggests the most likely problems.
π οΈ Troubleshooting Guidance The platform offers a list of possible causes and next steps β whether it's safe to drive, whether to seek a mechanic, or if it's something you can fix yourself.
π± Minimalist, Mobile-First UI Built on the go β quick to load, easy to use.
π§ Built-in Prompt Engineering Custom-designed AI prompts provide relevant and structured outputs for vehicle issues.
How we built it
Tool/Stack Role -Lovable.dev / Bolt.new -To brainstorm, wireframe, and scaffold the UI. -Cursor / Augment -For hands-on code editing, API integration, and logic refinement. -Perplexity AI (Sonar) -Natural language understanding and diagnostics generation. -Tailwind CSS -Minimalist, mobile-first styling. -Vercel -Seamless deployment and hosting.
We used AI tools during development to ideate and speed up implementation β but core logic, diagnostic design, and UX were custom-built.
Challenges we ran into
π§© Translating vague human symptoms into meaningful diagnostics. β οΈ Balancing AI creativity with safety and accuracy. π± Ensuring the experience feels fast and useful even on low-end mobile devices. π²πΎ Making the platform culturally and linguistically accessible to Malaysians.
What's next for RosakMY - AI-Powered Vehicle Diagnostics
πΈ Upload photo/video support for richer diagnostics. π Location-based mechanic recommendations. π Save/share diagnostic reports. π²πΎ Full Bahasa Melayu experience. π§ AI model fine-tuning with actual user input.
Built With
- javascript
- perplexity
- react
- sonar
- supabase
- tailwind
- typescript
- vercel
- vite

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