🤖 AI Mentor – Your Personal AI Coding Coach

🌟 Inspiration

Coding is best learned by doing, not by watching endless lectures. But students often ask themselves:

Am I writing good code?
Where do I actually stand in my coding journey?
What should I practice next?

That lack of personalized feedback is the missing piece in coding education. This inspired us to create AI Mentor — an AI-powered platform that turns each student’s GitHub activity into a personalized classroom.

❓ Problem Statement

❌ Current platforms (LeetCode, HackerRank) only test pass/fail — no personalized growth.
❌ Students rarely know their weaknesses in real coding (modularity, documentation, optimization).
❌ Motivation fades without clear milestones or gamification.

🚧 Challenges We Ran Into

Integrating AI with static analysis tools (SonarQube, ESLint, PyLint).
Keeping MVP lightweight but impactful in hackathon scope.
Handling rate limits with GitHub API.
Designing UI that feels like a mentor, not just a tool.

🏆 Accomplishments We’re Proud Of

Built a working end-to-end flow (GitHub → Feedback → Challenge → Dashboard).
Created personalized education from real coding data.
Brought gamification into coding education in a practical way.
Designed something that could scale for teachers + classrooms.

📚 What We Learned

How to integrate AI feedback into coding education.
Importance of storytelling in EdTech (problem → mentor → growth).
Learned that small features (badges, feedback messages) have huge motivational impact.

💡 Our Solution

AI Mentor = GitHub + AI Feedback + Gamified Practice

🔗 Connect GitHub → system analyzes repos, commits, and code quality.
🧠 AI Feedback Engine → “Your functions are too long, try modularizing.”
🎯 Personalized Challenges → generated based on weaknesses (e.g., recursion, modularity).
📊 Progress Dashboard → badges, levels, and skill growth over time.
👩‍🏫 (Bonus) Teacher View → lets instructors track class progress and compare student growth.

🚀 What it Does (Hackathon MVP)

Student connects GitHub → repos and commits fetched via GitHub API.
AI Feedback Engine (rule-based + GPT prompts) analyzes code structure.
Challenge Generator → pulls tailored challenges from a predefined set.
Dashboard → shows levels, badges, and progress improvement.

🛠 How We Built It

# Tech Stack
Frontend: React + TailwindCSS (dashboard, badges, clean UI)  
Backend: Node.js / Express or FastAPI (handles GitHub + AI logic)  
APIs: GitHub API for repos, OpenAI API for feedback  
Database: Firebase / Postgres for user progress tracking  
Gamification: Badge & Level system linked to completed challenges