SmartNotes AI is a cutting-edge educational platform that revolutionizes how students interact with study materials. By leveraging advanced AI technologies, it transforms static documents into interactive learning experiences through intelligent processing, contextual Q&A, automated quiz generation, and collaborative study environments.

• Enhanced Comprehension: AI-powered analysis helps students understand complex materials
• Active Learning: Automated quizzes and interactive features promote engagement
• Collaborative Study: Real-time sessions enable peer learning and knowledge sharing
• Progress Tracking: Comprehensive analytics help students monitor their learning journey

Transform any PDF, DOC, or TXT file into an AI-ready knowledge base:

• Intelligent Text Extraction: Advanced parsing for clean, structured content
• AI Vectorization: Convert documents into searchable knowledge vectors
• Auto-Categorization: Smart tagging and subject assignment
• Content Summarization: Generate concise summaries for quick review

Get instant, contextual answers to your study questions:

• Document-Based Responses: Answers derived directly from your uploaded materials
• Follow-Up Suggestions: AI-generated related questions for deeper exploration
• Real-World Examples: Contextual examples to enhance understanding
• Confidence Scoring: Know how reliable each answer is with confidence indicators

Create personalized quizzes from your documents:

• Adaptive Difficulty: Questions tailored to your learning level
• Multiple Formats: Multiple-choice, short-answer, and essay questions
• Time Constraints: Customizable time limits for focused practice
• Performance Analytics: Track quiz scores and improvement over time

Study together, even when apart:

• Real-Time Chat: Instant messaging with study partners
• Document Sharing: Collaborative access to uploaded materials
• Group Learning: Multi-user study environments for peer interaction
• Session History: Review past collaborative sessions

Monitor your learning journey with comprehensive insights:

• Study Time Metrics: Track hours spent on different subjects
• Performance Trends: Visualize quiz scores and improvement patterns
• Streak Counters: Maintain motivation with daily study streaks
• Goal Management: Set and track weekly learning objectives

Celebrate milestones with a rewarding badge system:

• Study Milestones: Recognition for consistent learning habits
• Quiz Mastery: Badges for quiz performance achievements
• Collaboration Rewards: Recognition for active participation in study groups
• Progress Indicators: Visual feedback on learning advancement

src/
├── app/                    # Next.js App Router structure
│   ├── api/                # API routes for backend functionality
│   │   ├── auth/           # Authentication endpoints
│   │   ├── chat/           # AI chat and session management
│   │   ├── documents/      # Document processing APIs
│   │   └── quizzes/        # Quiz generation and management
│   ├── auth/               # Authentication pages
│   ├── dashboard/          # Main dashboard with feature modules
│   └── subjects/           # Subject management interface
├── components/             # Reusable UI components
│   ├── auth/               # Login and registration components
│   ├── dashboard/          # Dashboard layout and navigation
│   ├── documents/          # Document management UI
│   ├── layout/             # Core layout components
│   └── ui/                 # shadcn/ui component library
├── contexts/               # React context providers
│   └── AuthContext.tsx     # Authentication state management
├── lib/                    # Business logic and services
│   ├── ai-service.ts       # AI integration layer
│   ├── api-client.ts       # API communication utilities
│   ├── api-utils.ts        # API helper functions
│   ├── auth.ts             # Authentication service
│   ├── chat-session-service.ts # Chat session management
│   ├── documents-service.ts # Document processing service
│   ├── quizzes-service.ts   # Quiz generation service
│   ├── setup-db.ts         # Database initialization
│   ├── storage.ts          # Local storage utilities
│   └── subjects-service.ts # Subject management service
└── types/                  # TypeScript definitions
    └── index.ts            # Core data models and interfaces

interface User {
  id: string;
  email: string;
  name: string;
  role: 'student' | 'admin';
  avatar?: string;
  createdAt: string;
  lastLoginAt: string;
}

interface Subject {
  id: string;
  name: string;
  description?: string;
  color: string;
  userId: string;
  createdAt: string;
  updatedAt: string;
}

interface Document {
  id: string;
  title: string;
  content: string;
  type: 'pdf' | 'note' | 'study-guide';
  subjectId: string;
  userId: string;
  fileUrl?: string;
  extractedText?: string;
  isProcessed: boolean;
  tags: string[];
  createdAt: string;
  updatedAt: string;
}

interface Quiz {
  id: string;
  title: string;
  description?: string;
  subjectId: string;
  userId: string;
  questions: Question[];
  timeLimit?: number;
  difficulty: 'easy' | 'medium' | 'hard';
  isActive: boolean;
  createdAt: string;
  updatedAt: string;
}

interface StudySession {
  id: string;
  title: string;
  subjectId: string;
  userId: string;
  participants: string[];
  isActive: boolean;
  sharedDocuments: string[];
  messages: ChatMessage[];
  createdAt: string;
  updatedAt: string;
}

• Node.js (v18 or higher)
• Bun package manager
• Supabase account (for database)

1. Clone the repository

   git clone <repository-url>
   cd smartnotes-ai

2. Install dependencies

   bun install

3. Environment setup

   cp env.example .env
   # Update environment variables as needed

4. Database initialization

   bun run setup-db

# Development mode
bun dev

# Production build
bun run build

# Production server
bun run start

The application will be available at http://localhost:3000

1. Document Upload

   • Navigate to Dashboard → Documents
   • Upload a PDF or create a text note
   • Wait for AI processing (simulated in mock version)

2. AI Chat Interaction

   • Go to Dashboard → AI Chat
   • Ask questions about your uploaded documents
   • Explore suggested follow-up questions

3. Quiz Generation

   • Visit Dashboard → Quizzes
   • Create a new quiz from your documents
   • Customize difficulty and time settings

4. Progress Monitoring

   • Check Dashboard → Progress for analytics
   • Review Dashboard → Achievements for badges

Supabase database implements RLS to ensure users only access their own data:

-- Example RLS policy
CREATE POLICY "Users can only access their own documents"
  ON documents FOR ALL USING (user_id = auth.uid());

1. JWT-based session management
2. Secure token refresh mechanisms
3. Protected API routes with middleware
4. Client-side localStorage for mock persistence

Proper CORS headers configured for iframe embedding:

headers: [
  {
    key: "Access-Control-Allow-Origin",
    value: "*", // Restricted in production
  },
  {
    key: "Content-Security-Policy",
    value: "frame-ancestors 'self' *",
  },
]

• Use "use client" directive for client components
• Implement Suspense boundaries for async components
• Follow shadcn/ui component patterns for consistency
• Maintain proper TypeScript typing

• Prefer React Context for global state
• Use localStorage for mock persistence
• Implement proper loading and error states

• Wrap components with appropriate error boundaries
• Provide user-friendly error messages
• Log errors for debugging purposes

• Mobile-first approach with Tailwind CSS
• Test across different screen sizes
• Ensure accessibility compliance

1. Connect your GitHub repository to Vercel
2. Configure environment variables
3. Deploy with zero configuration

# Build for production
bun run build

# Start production server
bun run start

FROM oven/bun:latest
WORKDIR /app
COPY . .
RUN bun install
RUN bun run build
EXPOSE 3000
CMD ["bun", "run", "start"]

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a pull request

• All PRs require review from maintainers
• Automated tests must pass
• TypeScript compilation must succeed
• ESLint and formatting checks applied

For support, please:

• Open an issue on the GitHub repository
• Contact the development team
• Check the documentation for common issues

This project is licensed under the MIT License - see the LICENSE file for details.