AnaQuest is a smart EdTech platform that empowers students to practice analytical questions for competitive exams and placements with real-time feedback and adaptive learning. It combines full-stack software development with Generative AI to deliver personalized quizzes, AI-generated explanations, and dynamic performance summaries.

• ✅ Dynamic Question Bank: Categorized by exam type, topic, and difficulty.
• ✅ Custom Quiz Builder: Create quizzes based on selected topics and difficulty levels.
• ✅ AI-Powered Question Generation: New analytical questions are auto-generated using LLMs.
• ✅ Instant AI-Generated Explanations: Get detailed solutions from the AI immediately after answering.
• ✅ Performance Dashboard: Track accuracy, time, and weak topics through visual analytics.
• ✅ Adaptive Quiz Recommendations: Next quiz is tailored based on weak areas using AI.
• ✅ Natural Language Summaries: AI-generated personalized feedback reports.
• ✅ Leaderboard: Compare your performance with peers.
• ✅ Secure Authentication: User login and session management using NextAuth.

anaquest/
├── app/              # Next.js App Router
├── components/       # Reusable UI Components
├── features/         # Auth, Quiz, Dashboard, LLM Integration
├── lib/              # API, Auth, Utilities
├── public/           # Static Assets
├── styles/           # TailwindCSS
├── types/            # TypeScript Types
├── middleware.ts     # Auth Middleware
├── tailwind.config.js
├── tsconfig.json
└── next.config.js

• Responsive UI with ShadCN components.
• Quiz Interface with timer and options.
• Dashboard with progress charts.
• Leaderboard with live user rankings.

• User authentication using NextAuth.
• Quiz logic (create, fetch, submit).
• API integration with OpenAI for question/explanation generation.

• Dynamic Question Generator: Prompt-based LLM to create new analytical questions.
• AI Explanations: Real-time generation of step-by-step solutions.
• Performance Summarizer: LLM-generated natural language summaries based on quiz results.

1. Clone the repository:

   git clone https://github.com/yourusername/anaquest.git
   cd anaquest

2. Install dependencies:

   npm install

3. Setup .env.local:

   Create a file named .env.local in the project root with the following content:

   MONGODB_URI=your_mongodb_connection_string
   NEXTAUTH_SECRET=your_random_secret
   NEXTAUTH_URL=http://localhost:3000
   GOOGLE_CLIENT_ID=your_google_client_id
   GOOGLE_CLIENT_SECRET=your_google_client_secret
   CONTACT_GMAIL_USER=your_gmail_address
   CONTACT_GMAIL_PASS=your_gmail_app_password
   

   • For production, set NEXTAUTH_URL to your deployed URL (e.g., https://anaquest-ixfp.vercel.app).
   • All variables are required for authentication and email to work.

4. Run the project:

   npm run dev

• Mobile App version.
• Real-time collaborative quizzes.
• Multi-language support.
• Voice-based question interactions.
• AI-driven personalized learning paths.

AnaQuest is not just a static practice tool. It integrates:

• Full-stack engineering (frontend + backend + database)
• Generative AI capabilities
• Personalized learning strategies
• Interactive and adaptive UX

This makes it a powerful showcase of both software development and AI application skills.