Quest AI
Quest AI is an intelligent learning companion that generates personalized roadmaps, quizzes, flashcards, and enables AI-powered interaction with study materials.
Tech Stack
The Problem
Traditional learning platforms lack personalization and fail to adapt to individual learning styles, pace, and goals.
1.
No personalized learning roadmap
2.
Low engagement with static study material
3.
Difficulty tracking learning progress
4.
Manual quiz and revision preparation
The Solution
Quest AI delivers an adaptive learning experience by combining AI-generated roadmaps, assessments, and contextual learning assistance.
1.
AI-generated personalized learning roadmaps
2.
Quiz and flashcard generation from uploaded content
3.
Chat with PDF using Retrieval-Augmented Generation (RAG)
4.
AI-powered learning assistant for instant explanations
5.
Progress tracking and structured learning flow
Architecture
A full-stack AI-first learning platform built on Next.js with integrated AI pipelines and vector-based retrieval.
1.
Next.js App Router for UI and server logic
2.
AI pipelines using Gemini and Vercel AI SDK
3.
Vector database for document retrieval (RAG)
4.
PostgreSQL for user data and learning progress
5.
LangChain for document processing and context retrieval
Key Technical Decisions
1.
Used Next.js as a full-stack framework
Unified frontend and backend with excellent DX and performance
2.
Implemented RAG with a vector database
Enabled accurate, context-aware AI responses from user documents
3.
Adopted structured AI outputs
Ensured consistent storage and UI rendering of AI-generated content
Challenges & Resolutions
1.
Maintaining relevance in AI-generated responses
Used embedding-based similarity search with contextual prompts
2.
Handling diverse document formats
Standardized document parsing and chunking pipelines
Future Enhancements
1.
Agentic AI for adaptive learning paths
2.
Automated revision schedules
3.
Collaborative learning features
4.
Multi-language content support