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SimpleProctoring

A simple, lightweight solution for proctoring

Development Plan

Executive Summary

Development of a lightweight, browser-based proctoring solution enabling real-time monitoring of student sessions with low latency, featuring screen sharing, webcam, audio capture, and session recording capabilities.

1. Technical Architecture

1.1 Recommended Tech Stack

Frontend

  • Framework: React 18+ with TypeScript
    • Vite for build tooling (faster than webpack)
    • React Query/TanStack Query for server state management
    • Zustand for client state (lightweight alternative to Redux)
  • UI Components:
    • Tailwind CSS + shadcn/ui for consistent, performant styling
    • Radix UI for accessible components
  • Real-time Communication:
    • WebRTC for peer-to-peer video/audio/screen sharing
    • Socket.io for signaling and chat
  • Video Processing:
    • MediaRecorder API for client-side recording
    • WebCodecs API for advanced codec control

Backend

  • Runtime: Node.js 20+ with TypeScript
  • Framework: Fastify (faster than Express)
    • Fastify-websocket for WebSocket support
    • Fastify-cors, fastify-helmet for security
  • Real-time Server:
    • Socket.io for WebSocket management
    • Mediasoup or Pion (Go-based) for SFU (Selective Forwarding Unit)
  • Authentication:
    • Passport.js with multiple SSO strategies
    • JWT for session management
    • OAuth 2.0/OIDC support

Database & Storage

  • Primary Database: PostgreSQL 15+
    • Prisma ORM for type-safe database access
    • Redis for session storage and caching
  • Media Storage:
    • MinIO (S3-compatible) for on-premise
    • AWS S3/CloudFront for cloud deployment
  • Message Queue: Redis Streams or RabbitMQ for job processing

Infrastructure

  • Containerization: Docker + Docker Compose
  • Orchestration: Kubernetes (for production)
  • Monitoring: Prometheus + Grafana
  • Logging: ELK Stack (Elasticsearch, Logstash, Kibana)
  • CDN: CloudFlare for static assets

2. System Architecture Design

2.1 High-Level Architecture

┌─────────────────────────────────────────────────────────┐
│                     Load Balancer                        │
│                    (Nginx/HAProxy)                       │
└─────────────┬───────────────────────┬───────────────────┘
              │                       │
    ┌─────────▼──────────┐  ┌────────▼──────────┐
    │   Web Application  │  │  WebSocket Server  │
    │   (Fastify + Next) │  │   (Socket.io)      │
    └─────────┬──────────┘  └────────┬──────────┘
              │                       │
    ┌─────────▼───────────────────────▼──────────┐
    │            Media Server (SFU)               │
    │         (Mediasoup/Pion WebRTC)            │
    └─────────────────────┬───────────────────────┘
                          │
    ┌─────────────────────▼───────────────────────┐
    │              Service Layer                   │
    ├──────────────────────────────────────────────┤
    │ • Auth Service    • Session Service          │
    │ • Recording Service • Analytics Service      │
    └─────────────────────┬───────────────────────┘
                          │
    ┌─────────────────────▼───────────────────────┐
    │             Data Layer                       │
    ├──────────────────────────────────────────────┤
    │  PostgreSQL │ Redis │ MinIO/S3              │
    └──────────────────────────────────────────────┘

2.2 Core Components

Authentication Service

interface IAuthService {
  authenticateSSO(provider: SSOProvider, credentials: ICredentials): Promise<IUser>;
  validateSession(token: string): Promise<ISession>;
  refreshToken(refreshToken: string): Promise<ITokenPair>;
  revokeSession(sessionId: string): Promise<void>;
}

Session Management Service

interface ISessionService {
  createSession(config: ISessionConfig): Promise<ISession>;
  joinSession(sessionId: string, participant: IParticipant): Promise<void>;
  startMonitoring(sessionId: string): Promise<void>;
  endSession(sessionId: string): Promise<void>;
  getActiveSession(sessionId: string): Promise<ISessionDetails>;
}

Media Streaming Service

interface IMediaService {
  initializeStream(config: IStreamConfig): Promise<IMediaStream>;
  handleOffer(offer: RTCSessionDescription): Promise<RTCSessionDescription>;
  processMediaTrack(track: MediaStreamTrack): Promise<void>;
  startRecording(sessionId: string): Promise<void>;
  stopRecording(sessionId: string): Promise<IRecording>;
}

3. Feature Implementation Plan

Phase 1: Foundation (Weeks 1-3)

  1. Project Setup

    • Initialize monorepo structure (Nx or Turborepo)
    • Configure TypeScript, ESLint, Prettier
    • Setup Docker development environment
    • Initialize CI/CD pipeline
  2. Database Design

    -- Core tables
    users (id, email, name, role, sso_provider, created_at)
    sessions (id, proctor_id, title, scheduled_at, status)
    participants (id, session_id, user_id, joined_at, left_at)
    recordings (id, session_id, file_path, duration, size)
    chat_messages (id, session_id, sender_id, message, timestamp)
  3. Authentication System

    • Implement SSO with Google, Microsoft, SAML 2.0
    • JWT token management
    • Role-based access control (RBAC)
    • Session persistence with Redis

Phase 2: Core Functionality (Weeks 4-6)

  1. Homepage & Navigation

    • Landing page with feature overview
    • Dynamic routing based on user role
    • Responsive design implementation
  2. Proctor Dashboard

    class ProctorDashboard {
      private sessionManager: ISessionManager;
      private analyticsService: IAnalyticsService;
      
      async getUpcomingSessions(): Promise<ISession[]>;
      async createSession(config: ISessionConfig): Promise<ISession>;
      async viewSessionHistory(): Promise<ISessionHistory[]>;
      async generateReport(sessionId: string): Promise<IReport>;
    }
  3. Student Lobby

    class StudentLobby {
      private websocketClient: IWebSocketClient;
      private mediaDeviceManager: IMediaDeviceManager;
      
      async joinLobby(sessionCode: string): Promise<void>;
      async testDevices(): Promise<IDeviceTestResult>;
      async waitForProctor(): Promise<void>;
      onSessionStart(callback: () => void): void;
    }

Phase 3: Real-time Monitoring (Weeks 7-10)

  1. WebRTC Implementation

    class WebRTCManager {
      private peerConnection: RTCPeerConnection;
      private localStream: MediaStream;
      private remoteStreams: Map<string, MediaStream>;
      
      async initializeConnection(config: RTCConfiguration): Promise<void>;
      async shareScreen(): Promise<MediaStream>;
      async shareWebcam(): Promise<MediaStream>;
      async shareAudio(): Promise<MediaStream>;
      handleICECandidate(candidate: RTCIceCandidate): void;
    }
  2. Screen & Media Capture

    • Implement screen capture with getDisplayMedia()
    • Webcam capture with getUserMedia()
    • Audio capture and noise suppression
    • Bandwidth adaptation for quality optimization
  3. Real-time Chat

    class ChatService {
      private socket: Socket;
      private messageQueue: IMessage[];
      
      sendMessage(message: string): void;
      onMessageReceived(callback: (msg: IMessage) => void): void;
      getMessageHistory(sessionId: string): Promise<IMessage[]>;
    }

Phase 4: Recording & Storage (Weeks 11-12)

  1. Session Recording

    class RecordingService {
      private mediaRecorder: MediaRecorder;
      private chunks: Blob[];
      
      async startRecording(streams: MediaStream[]): Promise<void>;
      async stopRecording(): Promise<Blob>;
      async uploadRecording(blob: Blob, metadata: IMetadata): Promise<string>;
      async compressVideo(input: Blob): Promise<Blob>; // Using WebCodecs
    }
  2. Storage Implementation

    • Implement chunked upload for large files
    • Video compression using H.264/VP9
    • Metadata extraction and indexing
    • Secure URL generation for playback

Phase 5: Optimization & Scaling (Weeks 13-14)

  1. Performance Optimization

    • Implement lazy loading and code splitting
    • Optimize WebRTC with simulcast
    • Add Redis caching layer
    • Database query optimization
  2. Scalability Features

    • Horizontal scaling with Kubernetes
    • Load balancing for media servers
    • CDN integration for static assets
    • Auto-scaling based on metrics

Phase 6: Testing & Deployment (Weeks 15-16)

  1. Testing Strategy

    • Unit tests with Jest
    • Integration tests with Cypress
    • Load testing with K6
    • Security testing with OWASP ZAP
  2. Deployment

    • Production Docker images
    • Kubernetes manifests
    • SSL/TLS configuration
    • Monitoring and alerting setup

4. Design Patterns & Principles

SOLID Implementation

// Single Responsibility
class SessionRecorder {
  record(stream: MediaStream): void { /* recording logic */ }
}

class SessionStorage {
  save(recording: Blob): Promise<string> { /* storage logic */ }
}

// Open/Closed Principle
interface IAuthProvider {
  authenticate(credentials: any): Promise<IUser>;
}

class GoogleAuthProvider implements IAuthProvider { }
class MicrosoftAuthProvider implements IAuthProvider { }

// Liskov Substitution
abstract class BaseMonitor {
  abstract startMonitoring(): void;
}

class ScreenMonitor extends BaseMonitor { }
class WebcamMonitor extends BaseMonitor { }

// Interface Segregation
interface IReadableSession {
  getDetails(): ISessionDetails;
}

interface IWritableSession {
  updateStatus(status: SessionStatus): void;
}

// Dependency Inversion
class SessionController {
  constructor(
    private sessionService: ISessionService,
    private notificationService: INotificationService
  ) {}
}

DRY & KISS Examples

// DRY - Reusable hook for media devices
const useMediaDevice = (constraints: MediaStreamConstraints) => {
  const [stream, setStream] = useState<MediaStream>();
  const [error, setError] = useState<Error>();
  
  useEffect(() => {
    navigator.mediaDevices.getUserMedia(constraints)
      .then(setStream)
      .catch(setError);
  }, [constraints]);
  
  return { stream, error };
};

// KISS - Simple state management
const sessionStore = create<SessionState>((set) => ({
  session: null,
  setSession: (session) => set({ session }),
  clearSession: () => set({ session: null })
}));

5. Security Considerations

Security Implementation

  • End-to-end encryption for media streams
  • DTLS-SRTP for WebRTC security
  • Rate limiting on API endpoints
  • Input validation and sanitization
  • CORS configuration with whitelisting
  • CSP headers for XSS protection
  • SQL injection prevention with parameterized queries
  • Session hijacking prevention with secure cookies

6. Performance Metrics

Target KPIs

  • Connection establishment: < 3 seconds
  • Stream latency: < 500ms
  • Video quality: 720p @ 30fps minimum
  • Audio latency: < 200ms
  • Recording compression: 60% size reduction
  • Concurrent sessions: 1000+ per server
  • API response time: < 100ms p95
  • Uptime: 99.9% availability

7. Development Timeline

Phase Duration Deliverables
Foundation 3 weeks Auth system, Database, CI/CD
Core Features 3 weeks Dashboard, Lobby, Navigation
Real-time 4 weeks WebRTC, Chat, Monitoring
Recording 2 weeks Recording, Storage, Playback
Optimization 2 weeks Performance, Scaling
Testing & Deploy 2 weeks Tests, Documentation, Deployment

Total Timeline: 16 weeks (4 months)

8. Team Structure

Recommended Team

  • 1 Tech Lead - Architecture decisions, code reviews
  • 2 Backend Engineers - API, WebRTC, Services
  • 2 Frontend Engineers - UI/UX, Real-time features
  • 1 DevOps Engineer - Infrastructure, CI/CD
  • 1 QA Engineer - Testing strategy, automation

9. Risk Mitigation

Technical Risks

  1. WebRTC complexity → Use established libraries (Mediasoup)
  2. Scaling challenges → Start with SFU architecture
  3. Browser compatibility → Progressive enhancement approach
  4. Network reliability → Implement reconnection logic
  5. Storage costs → Implement retention policies

10. Success Criteria

  • Successfully monitor 100+ concurrent sessions
  • Achieve < 1% packet loss in normal conditions
  • Record and playback sessions without quality degradation
  • Maintain sub-second latency for real-time features
  • Pass security audit and penetration testing
  • Achieve 95% user satisfaction score

Conclusion

This plan provides a comprehensive roadmap for developing a robust, scalable, and performant proctoring solution. The architecture emphasizes modern web technologies, clean code principles, and user experience while maintaining security and reliability as core priorities.

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