📘 About the Project: Vibe Learning

"Cursor for Learning" — Personalized, AI-powered education through mindmaps, roadmaps, and practical projects.

🌟 Inspiration

During my own learning journey in AI and development, I constantly found myself switching between YouTube videos, online notes, ChatGPT prompts, and personal notes. Traditional platforms felt either too rigid or too fragmented. I wished for a tool that could:

Structure my learning like a mindmap
Adapt content to my pace and skill level
Let me interact with knowledge using natural language
Help me build projects along the way

That's how Vibe Learning was born — a learning platform that bridges the gap between AI tutoring, personalized content, and hands-on project building.

🛠️ How I Built It

Vibe Learning is powered by a full-stack AI-integrated system:

🧩 Tech Stack

Frontend: Next.js 15, Tailwind CSS, Radix UI
Backend: tRPC, Prisma ORM, PostgreSQL, Supabase
AI Engine: Google Gemini 2.0 Flash, fallback to 1.5 Flash
PDF/Document AI: Python backend using NLP + LangChain-like tools
Visualization: Custom Mindmap.tsx with zoom, pan, and color-coded nodes
Video Curation: YouTube Data API v3 for top-ranked videos per topic
Command Interface: A conversational parser with /explain, /visualize, /compare, and more

🚀 Core Features

AI-Powered Learning Roadmaps: Auto-generated from a single topic
Interactive Mindmaps: Visualize and navigate learning hierarchies
Conversational Commands: /explain @topic, /visualize, /compare
Project Generator: Builds hands-on projects aligned to learning goals
Progress Tracking: User libraries and resumption from last session

📚 What I Learned

How to design AI-first interfaces that go beyond chat
Building scalable architectures with tRPC and Prisma
Handling natural language command parsing
Integrating multi-modal learning: visual + conversational + practical
Managing AI model limitations with fallback strategies and user feedback loops

🧗 Challenges Faced

Contextual AI Parsing: Designing a command parser that understands fuzzy and chained inputs
Mindmap Scalability: Managing dynamic node sizes, levels, and zoom performance
AI Resource Quality: Filtering low-quality videos and ensuring relevance
Multi-Difficulty Generation: Balancing content complexity across beginner, intermediate, and advanced levels
PDF Understanding: Extracting and summarizing large document content reliably with limited context window

🔮 What’s Next

🧠 Add /solve and /analyze for PDF problem-solving and pattern recognition
💬 Add user-specific memory to track long-term learning progress
🎓 Launch a curated library of beginner-friendly AI courses
📈 Integrate spaced repetition and quiz generation features
📱 Build a mobile-first interface for micro-learning

❤️ Final Thoughts

Vibe Learning is more than a project — it’s the platform I wish I had while learning. If it helps even one learner find clarity, structure, or inspiration, that’s a win.

Feel free to explore, contribute, or just vibe with learning.