Inspiration
RUET students have plenty of academic resources, but finding patterns and knowing what to study before exams is difficult. Arohon was inspired by this real student problem.
What it does
Arohon uses AI to analyze course materials and past questions, identify important patterns, provide exam-focused preparation, and answer course questions.
How we built it
Built with React, Express JS, NodeJS, TypeScript, HTML, CSS, and the Gemini API, using AI-powered tools like Gemini 3.5 Flash in Google Antigravity.
Challenges we ran into
Found a lot of broken technical sections. Handling large academic resources, keeping AI responses grounded in real materials, and building a reliable working prototype within a three-hour hackathon.
Accomplishments that we're proud of
We built an AI-first academic platform where historical questions and course materials are transformed into actionable study insights. This can predict tomorrow's exam questions.
What we learned
We learned how to integrate Gemini into real product workflows and how AI can turn scattered educational data into personalized academic guidance.
What's next for Arohon
Expand Arohon with richer RUET-wide resources, deeper personalization, better practice analytics, and more advanced exam-pattern intelligence.
