CarSOR AI

Inspiration

CarSOR AI was inspired by the challenges vehicle owners face during sudden car issues - lack of diagnosis knowledge, limited access to service centers, and no centralized repair history. We aimed to create an AI-powered assistant that simplifies vehicle diagnostics and connects users with nearby help.

What it does

• AI chatbot (Gemini + RAG) for vehicle issue diagnosis via text/voice
• Upload images or describe symptoms to detect problems
• Tracks repair history and visualizes insights
• Dashboards for both users and service providers
• Share vehicle health securely during resale or service

How we built it

• Frontend: Next.js + TailwindCSS
• Backend: Gemini API + RAG for intelligent responses
• Database: MongoDB with Mongoose
• Deploy: Vercel

Challenges

• Making AI diagnostics context-aware
• Handling accurate image/voice inputs
• Balancing features with UI simplicity

Accomplishments

• Real-time AI diagnostics tailored for Tata vehicles
• Dual-role dashboards (user + service provider)
• Fully deployed, fast, and scalable system

What we learned

• Building smart assistants with Gemini + RAG
• Integrating AI with full-stack apps
• Handling multimodal inputs (voice, image, text)

What’s next

• Launching mobile app
• OBD-II integration for real-time car health
• Regional language support
• Partnerships with local service centers

Built With

• gemini
• mongodb
• nextjs
• tailwindcss
• vercel