1. Executive Summary Purpose: Develop a robust, scalable Learning Management System (LMS) for HPPSC & state-level competitive exam preparation. The platform will support efficient course delivery, assessments, analytics, and secure video streaming. Target Users: HPPSC & State competitive exam aspirants Institutions & coaching centers Instructors and administrators Primary Goals: Support 10M registered learners Handle 100,000 concurrent sessions Offer petabyte-scale video delivery Provide web + Android + iOS apps Ensure multilingual accessibility (English, Hindi, Himachali dialects) 2. System Overview Platform Reach Web application (PWA-enabled) Mobile apps (Android + iOS) — Phase 1 Multilingual UI Deployment Model Hybrid cloud + on-premise architecture Cloud for compute, CDN, transcoding On-premise optional MSSQL/PostgreSQL mirroring for compliance Performance Targets Page load < 3 sec API responses < 500 ms Video latency < 2 sec (adaptive streaming) 3. Functional Requirements 3.1 User Management Registration/login (Email, Mobile OTP) Social logins (Google, Facebook) Role-based access (Student, Instructor, Admin) Multi-factor authentication 3.2 Course Delivery Modules, lessons, resources Text, video, audio, PDF support Drip content scheduling 3.3 Video Hosting DRM-protected streaming Adaptive bitrate (HLS/DASH) Watermarking (dynamic user info) 3.4 Payment Integration Razorpay, Stripe, PayPal, PayU One-time payments + Subscriptions Coupons, offers, bundles 3.5 Assessments MCQ engine Randomization + negative marking Timed tests + auto submission 3.6 Progress Tracking Course completion percentage Module/lesson analytics Activity reports 3.7 Certificates Auto-generated QR-based verification Custom branding 3.8 Discussion Forums Course-specific Q&A Instructor moderation Upvotes, attachments 3.9 CMS Public blog SEO tools Page builder 3.10 Mobile App Features Offline downloads Push notifications Synchronization with web platform 4. Non-Functional Requirements Performance 100k concurrent users Efficient caching CDN-based static content Security TLS 1.3 AES-256 encryption at rest Secure JWT authentication Anti-cheating mechanisms Reliability 99.9% uptime Automated backups Disaster recovery Scalability Horizontal scaling Microservices architecture 5. Database Schema (High-Level) Core Tables Users Courses Modules Lessons Payments Enrollments Quizzes Questions Options Attempts Progress (Structured similar to the schema in your uploaded large document.) 6. API Specifications Principles RESTful architecture JSON responses JWT authentication Key Endpoint Groups /auth → login, registration, refresh /courses → list, filter, search /modules → module CRUD /lessons → content delivery /quiz → quiz operations /progress → tracking endpoints /payments → create session, validate 7. Recommended Technology Stack Frontend React + Next.js TailwindCSS / Material UI Video.js player Backend Node.js (Express) or FastAPI Microservices architecture Database PostgreSQL (primary) Redis (cache) ElasticSearch (search engine) DevOps Docker Kubernetes GitHub Actions CI/CD Prometheus + Grafana monitoring Mobile React Native (Android/iOS) 8. Architecture Design (High-Level) Components Authentication Service Course Service Video Service Payment Service Assessment Service Analytics Service Load Balancing Application load balancers Auto-scaling groups (CPU/memory) Caching Redis (session + query caching) CDN edge caching for videos 9. Security Specifications Role-based access control MFA for admin/instructors Encrypted database fields DRM for video Anti-bot & anti-spam systems 10. UI/UX Guidelines Mobile-first layout Accessibility: WCAG 2.1 Minimalist design Consistent navigation Clear test-taking UI Multilingual toggle 11. Monetization Strategy Revenue Models Individual courses Subscription (monthly/yearly) Bundles for subjects/exams Limited free courses for funneling 12. Implementation Roadmap Phase 1 (3–4 months) All core features including mobile apps: User management Courses & videos Payments Tests Progress tracking Certificates CMS Mobile apps Phase 2 (3 months) Forums Analytics dashboards AI basic recommendations Phase 3 (3 months) AI-based adaptive learning Personal learning pathways Content automation Phase 4 (Ongoing) Optimization Scaling Internationalization 13. Testing Strategy Unit tests API tests E2E tests Stress tests (100k concurrency) Security testing UAT with real learners 14. Deployment & Maintenance Blue-green deployment Automated backups Log aggregation (ELK) Continuous monitoring Content moderation workflows 15. Appendices Glossary DRM, CDN, JWT, API, PWA, etc. Third-Party Integrations Razorpay, Stripe, PayPal AWS/GCP cloud Firebase push notifications Compliance GDPR PCI DSS ISO 27001 WCAG 2.1 accessibility