Inspiration
Studying for exams often turns into passive repetition — rereading notes, skimming slides, and hoping it sticks. I wanted to build something that shifts that into active thinking, where you actually test your understanding instead of just reviewing content.
What it does
Exam AI is a simple AI-powered study tool.
You give it a topic, and it:
- generates exam-style questions
- lets you try answering them
- explains the answers in a clear way
It works more like an interactive study partner than a static quiz — you can go deeper, ask follow-ups, and explore weak points.
How we built it
The app was built using MeDo, focusing on speed and iteration rather than complexity.
Instead of spending time on setup or infrastructure, I could:
- quickly define features
- iterate through prompts
- refine how the AI responds
Most of the work went into shaping how the AI asks questions and explains concepts in a useful way.
Challenges we ran into
The biggest challenge was consistency.
- AI output depends heavily on input quality
- keeping questions relevant and useful took iteration
- it was easy to add too many features and lose focus
Making something simple but genuinely helpful turned out to be harder than expected.
Accomplishments that we're proud of
- Built a working, usable product during the hackathon
- Kept the idea focused instead of overcomplicating it
- Created something that actually helps with real studying
It’s not just a demo — it’s something you can use.
What we learned
- Speed matters more than perfection in a hackathon
- Clear ideas beat complex ones
- AI is powerful, but only if you guide it well
Also: finishing something is way more valuable than endlessly planning it.
What's next for Exam AI
If I continue developing it, I’d focus on:
- personalization (adapting to the user’s weak areas)
- tracking progress over time
- improving the quality of explanations
The goal would be to turn it into a more complete AI study companion, while keeping it simple to use.
Built With
- html
- tsx

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