Interactive quiz-based learning platform to master PyTorch from zero to hero! Features comprehensive modules, progress tracking, and admin analytics dashboard.
- Python 3.8 or higher
- pip package manager
# Clone the repository
git clone https://github.com/sherozshaikh/pytorch-interactive-learning-platform.git
cd pytorch-interactive-learning-platform
# Install dependencies
pip install -r requirements.txt
# Run the application
python run.py- Learning Platform: http://localhost:8000
- Admin Dashboard: http://localhost:8000/admin
- Username:
admin - Password:
pytorch_admin
- Username:
Main learning dashboard with module selection
Interactive quiz with multiple choice questions
Immediate feedback and explanations
System overview and user statistics
User management and progress tracking
Detailed analytics and learning patterns
- Interactive Quizzes: Multiple choice questions with immediate feedback and explanations
- Progressive Learning: 8 comprehensive modules covering PyTorch fundamentals to advanced topics
- Advanced Navigation: Previous/Next question buttons for seamless learning flow
- Progress Tracking: Auto-save your progress and resume exactly where you left off
- User Journey Tracking: Complete history of all answers, attempts, and learning patterns
- Review & Retake Modes: Review previous attempts or retake modules to improve your score
- Personalized Experience: Username-based learning with streak tracking and detailed analytics
- Session Management: Secure logout with full data persistence
- Beautiful UI: Modern glass-morphism design with collapsible explanations
- Smart Resume: Return to any module and continue exactly where you left off
- Module Status Tracking: Visual indicators (Available → In Progress → Completed)
- Scoring System: +10 points for correct answers, -10 for incorrect (minimum 0%)
- Time Tracking: Monitor time spent per question and per module
- Attempt History: All attempts are saved with scores, timestamps, and answers
- Learning Insights: Comprehensive dashboard showing performance patterns and statistics
- Collapsible Explanations: Auto-expand for wrong answers, minimize for correct ones
- Backend-First Architecture: Zero client-side caching ensures data consistency
- FastAPI Backend: High-performance web framework with automatic API documentation
- Pydantic Models: Type-safe data validation and serialization
- Persistent Storage: Backend JSON storage with automatic file creation
- Data Validation: Comprehensive validation for questions and modules
- Admin Dashboard: Complete user analytics and management system
- Loguru Logging: Detailed file-based logging for debugging and monitoring
- User Management: View all users and their learning progress
- Analytics Dashboard: Track learning patterns and completion rates
- Module Statistics: See which modules are most/least completed
- Data Management: Clean up old user data and manage retention
- Real-time Monitoring: Live statistics and user activity tracking
| Module | Topic | Difficulty | Questions |
|---|---|---|---|
| 1 | What is PyTorch? | Beginner | 9 |
| 2 | Tensors: The Building Blocks | Beginner | 10 |
| 3 | Tensor Manipulation & Calculations | Intermediate | 10 |
| 4 | Tensor Operations | Intermediate | 5 |
| 5 | Building Neural Networks | Intermediate | 5 |
| 6 | Training Neural Networks | Intermediate | 5 |
| 7 | Advanced Neural Network Architectures | Advanced | 5 |
| 8 | Optimization & Training Techniques | Advanced | 5 |
Total: 54 comprehensive questions covering PyTorch from basics to advanced concepts!
- Backend: FastAPI, Pydantic, Uvicorn
- Frontend: HTML5, CSS3, JavaScript (Vanilla)
- Data Storage: JSON files (local storage)
- Styling: Modern CSS with glass-morphism effects
- Validation: Comprehensive data validation scripts
pytorch-interactive-learning-platform/
├── app.py # Main FastAPI application
├── run.py # Simple run script
├── user_database.py # User data management
├── requirements.txt # Python dependencies
├── README.md # This file
├── setup.sh # Automated setup script
├── validate_data.py # Data validation script
├── admin_credentials.py # Admin credential management
├── ADMIN_CREDENTIALS.md # Admin reference guide
├── data/ # Data files
│ ├── modules.yaml # Module metadata
│ ├── questions.jsonl # All questions (easy to edit!)
│ ├── admin_config.yaml # Admin configuration
│ └── screenshots/ # Application screenshots
├── static/ # Static files
│ ├── css/style.css # Main stylesheet
│ └── js/app.js # Main JavaScript
└── templates/ # HTML templates
├── index.html # Main learning interface
└── admin.html # Admin dashboard
- URL: http://localhost:8000/admin
- Default Credentials:
- Username:
admin - Password:
pytorch_admin
- Username:
# Method 1: Edit config file
nano data/admin_config.yaml
# Method 2: Use management script
python admin_credentials.py change- User Analytics: Track learning patterns and completion rates
- Module Statistics: See which modules are most/least completed
- User Management: View individual user progress and streaks
- Data Cleanup: Remove old user data and manage retention
- Real-time Stats: Live monitoring of user activity
This learning platform is based on:
# Edit questions (JSONL format - one question per line)
nano data/questions.jsonl
# Validate data integrity
python validate_data.py
# Restart application
python run.py# Edit module metadata
nano data/modules.yaml
# Add questions for new module
nano data/questions.jsonl
# Validate and restart
python validate_data.py && python run.py# Install development dependencies
pip install -r requirements.txt
# Run with auto-reload
uvicorn app:app --reload --host 0.0.0.0 --port 8000# Validate all data files
python validate_data.py
# Expected output:
# ✅ Validated 54 questions
# ✅ Validated 8 modules
# ✅ Consistency check passedWe welcome contributions! Here's how you can help:
- Edit
data/questions.jsonl - Follow the existing format
- Run
python validate_data.pyto check - Submit a pull request
- Modify
static/css/style.cssorstatic/js/app.js - Test across different browsers
- Ensure mobile responsiveness
- Submit your improvements
- Fork the repository
- Create a feature branch
- Implement your changes
- Add tests if applicable
- Submit a pull request
- Startup Time: < 2 seconds
- Question Loading: < 100ms
- Admin Dashboard: < 500ms
- Memory Usage: < 50MB
- Storage: < 1MB for all data
Port already in use:
# Kill process on port 8000
lsof -ti:8000 | xargs kill -9
# Or use different port
python run.py --port 8001Data validation errors:
# Check data integrity
python validate_data.py
# Fix any reported issues
# Restart application
python run.pyAdmin login issues:
# Check admin credentials
python admin_credentials.py show
# Reset admin password
python admin_credentials.py changeThis project is licensed under the MIT License - see the LICENSE file for details.
- Sebastian Raschka for the comprehensive PyTorch tutorial
- PyTorch Team for the amazing deep learning framework
- FastAPI Team for the excellent web framework
Special recognition to Prathamesh Pachpatil (prathameshpachpatil@gmail.com) for valuable UX enhancement suggestions that significantly improved the learning experience:
- Navigation Enhancement: Implemented Previous Question button (from question 2 onwards) for better navigation flow across all modules
- Session Management: Added logout functionality with comprehensive user journey tracking to preserve all learning data
- Smart Button Logic: Last question of each module shows "Complete Module" instead of "Next Question" for intuitive flow
- Review Functionality: Enabled viewing of previously selected answers and results when revisiting completed modules
These features greatly enhanced the platform's usability and user experience, making it more intuitive and learner-friendly.
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Documentation: Check the ADMIN_CREDENTIALS.md for admin setup
