Aurora Quest

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Inspiration

This project was born from a very real (and very relatable) struggle: exam dates approaching + zero planning + chaotic notes = panic mode activated. We wanted something that helps students study smarter, stay consistent, and actually feel good about their prep. So we built a planner that’s cute, intelligent, and doesn’t let you ghost your own goals.

What it does

Aurora Quest creates personalized study schedules, breaks down your syllabus into daily bite-sized goals, quizzes you to keep your brain sharp, and answers your questions in real time. Bonus: you can upload PDFs and it’ll process them for you. Stress-free, organized, and way less chaotic exam prep.

How we built it

Our planner blends together:

AI-driven scheduling that creates personalized study plans.
Daily content distribution so your syllabus feels less like a mountain and more like a comfy staircase.
RAG-based quiz generation to test what you learn, when you learn it.
Frontend chat interface for interaction
PDF processing to extract content, because sometimes you just want to throw your notes at the system and let it figure things out.

We structured everything around a clean backend and a modular system so features talk to each other smoothly like a well-behaved group project team.

Challenges we ran into

Like any good project, the struggles were real:

Syncing schedules + quiz generation in a way that feels natural.
Making the planner understand “study load” without scaring the user.
Designing a scheduling algorithm that adapts to different syllabus sizes
Making quizzes relevant and balanced, not too easy or hard
Ensuring real-time answers without slowing down the interface
Fine-tuning AI responses so students don’t get 5-paragraph theories when they want a 1-line answer.
Coordinating features so nothing crashes when deadlines get close (just like us).

Accomplishments that we're proud of

A fully functional interactive AI study planner
Personalized schedules that actually make sense
Instant doubt-solving system that feels like a real study buddy.

What we learned

Building this wasn’t just technical; it was emotional 💀 We learned how to:

Break down learning behaviors and convert them into algorithms.
Use AI + RAG to make content retrieval actually useful.
Design prompts that don’t cause the AI to suddenly forget math.
Balance aesthetics with utility—because a study app should be cute but not confusing.
Manage time (ironically, this planner helped us too).