Landing Page
Teacher Dashboard
Edit Course Page
AI-Suggested Video Sections
Edit Training Video Details
Affiliate Textbook to Course 1
Affiliate Textbook to Course 2
Chunks in Textbook Associated with Course
Teacher's Profile
Course Page (From Student's POV)
Quiz (From Student's POV)
Quiz Completion (From Student's POV)
Generated Course Reading From Transcript & Textbook Chunks

About MotorMind

Inspiration

MotorMind was inspired by the RMS Diagnostics Hackathon Challenge, which asked us to build tools that transform how automotive diagnostics is taught and learned.

One problem stood out immediately: automotive educators and content creators already spend hours researching, filming and editing genuinely educational videos, only to repeat much of the same work creating online learning materials afterwards.

We asked a simple question:

Why should educators have to teach twice?

If someone has already taught something well in a video, AI should be able to turn it into a structured learning experience automatically.

What it does

MotorMind transforms automotive training videos into interactive learning experiences.

Upload a training video and MotorMind can automatically generate:

Structured lesson sections from timestamps
AI-generated study notes and reading
Textbook-backed learning using semantic search
Auto-generated quizzes
Diagrams and visual explanations
A conversational AI tutor students can speak to
Progress tracking and achievement badges

Students can ask questions naturally, revisit key moments in videos, and receive explanations grounded in both the transcript and trusted textbook content.

How we built it

We built MotorMind as a full-stack web platform using:

Google Gemini for educational content generation, quiz creation and tutoring
ChromaDB vector search for textbook retrieval (RAG)
ElevenLabs for conversational voice tutoring
Django + SQLite for the platform backend
Solana Devnet for verifiable achievement badges

To keep content reliable, we grounded AI responses using:

video transcripts,
textbook chunks retrieved through similarity search,
citations with timestamps and page references.

This helps reduce hallucinations and makes the tutor feel more trustworthy in a vocational setting.

Challenges

The biggest challenge was balancing automation with accuracy.

Automotive diagnostics is practical and technical — incorrect information can be genuinely misleading. We therefore focused heavily on citations, transcript grounding and textbook retrieval.

Another challenge was ensuring teachers stayed in control. AI can generate materials quickly, but educators still need the ability to edit quizzes, readings and course content before publishing.