🧪 VLabs - Electronics & Communication Virtual Laboratory

A comprehensive Flask-based virtual laboratory platform for Electronics and Communication Engineering experiments, featuring digital signal processing simulations, interactive quizzes, and hands-on learning modules.

🌟 Features

🔐 Authentication System

• User Registration & Login: Secure Firebase authentication
• Email Verification: Automated email verification for new users
• Session Management: Persistent user sessions with logout functionality

🧪 Virtual Experiments

• 10 Interactive Experiments: Complete lab simulations with real-time results
• Digital Signal Processing: ASK, PSK, and BFSK modulation techniques
• Parameter Customization: Adjustable signal parameters for comprehensive learning
• Visual Simulations: Interactive waveform generation and analysis

📝 Assessment System

• 10 Comprehensive Quizzes: Topic-wise assessments with instant scoring
• Real-time Feedback: Immediate score calculation and result display
• Progress Tracking: Monitor learning progress across different modules

🔬 Supported Experiments

1. Experiment 1-10: Various electronics and communication concepts
2. ASK Modulation (Exp 2): Amplitude Shift Keying simulation
3. BFSK Modulation (Exp 3): Binary Frequency Shift Keying
4. PSK Modulation (Exp 4): Phase Shift Keying implementation
5. Advanced Signal Processing (Exp 7, 9): Complex signal analysis

🚀 Quick Start

Prerequisites

• Python 3.7+
• Firebase account and project setup
• Required Python packages (see requirements.txt)

Installation

# Clone the repository
git clone https://github.com/your-username/vlabs-extc.git
cd vlabs-extc

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install flask pyrebase sqlite3 collections

# Set up Firebase configuration
# Update the config dictionary in app.py with your Firebase credentials

# Run the application
python app.py

Access the Application

• Open your browser and navigate to http://localhost:5000
• Register a new account or login with existing credentials
• Explore experiments and take quizzes

🏗️ Project Structure

vlabs-extc/
├── app.py                 # Main Flask application
├── ASK.py                 # Amplitude Shift Keying module
├── PSK.py                 # Phase Shift Keying module  
├── BFSK.py                # Binary FSK module
├── templates/
│   ├── index.html         # Landing page
│   ├── loginPage.html     # Authentication page
│   ├── extc.html          # Main experiments dashboard
│   ├── experiments.html   # Experiments listing
│   ├── exp1.html - exp10.html    # Individual experiments
│   ├── sim1.html - sim10.html    # Simulation interfaces
│   └── quiz1.html - quiz10.html  # Quiz templates
├── static/
│   ├── css/              # Stylesheets
│   ├── js/               # JavaScript files
│   └── images/           # Static images
└── requirements.txt       # Python dependencies

🔧 Configuration

Firebase Setup

Update the Firebase configuration in app.py:

config = {
    "apiKey": "your-api-key",
    "authDomain": "your-domain.firebaseapp.com",
    "projectId": "your-project-id",
    "storageBucket": "your-bucket.appspot.com",
    "messagingSenderId": "your-sender-id",
    "appId": "your-app-id",
    "measurementId": "your-measurement-id",
    "databaseURL": "your-database-url"
}

Environment Variables

# Set Flask secret key
export FLASK_SECRET_KEY="your-secret-key"

# Set Flask environment
export FLASK_ENV="development"  # or "production"

📊 Experiment Details

ASK Modulation (Experiment 2)

• Parameters: Carrier amplitude, frequency, pulse signal frequency
• Output: Real-time waveform generation and analysis
• Learning Outcomes: Understanding amplitude modulation principles

BFSK Modulation (Experiment 3)

• Parameters: Sample rate, bit rate, frequencies, duration, amplitude
• Features: Dual-frequency signal generation
• Applications: Digital communication systems

PSK Modulation (Experiment 4)

• Parameters: Carrier signal properties, pulse characteristics
• Simulation: Phase-shifted signal visualization
• Use Cases: Advanced digital modulation techniques

🎯 Quiz System

Features

• Automated Scoring: Real-time score calculation (0-5 points per quiz)
• Diverse Topics: Covering all experiment areas
• Instant Feedback: Immediate results display
• Multiple Choice: User-friendly question format

Sample Quiz Topics

• Basic electronics principles
• Digital signal processing
• Modulation techniques
• Communication systems
• Signal analysis

🔒 Security Features

• Firebase Authentication: Industry-standard security
• Session Management: Secure user session handling
• Input Validation: Form data sanitization
• Error Handling: Graceful error management

🚧 Development Roadmap

• Mobile Responsiveness: Optimize for mobile devices
• Advanced Analytics: Detailed progress tracking
• More Experiments: Expand to 20+ experiments
• Real-time Collaboration: Multi-user lab sessions
• Export Functionality: Download results and reports
• API Integration: RESTful API for external integrations

🛠️ Technologies Used

• Backend: Flask (Python)
• Authentication: Firebase/Pyrebase
• Database: SQLite3
• Frontend: HTML5, CSS3, JavaScript
• Signal Processing: Custom Python modules (ASK, PSK, BFSK)
• Deployment: Flask development server (configurable for production)

📈 Performance Optimizations

• Lazy Loading: Experiments load on-demand
• Session Caching: Reduced database queries
• Optimized Routes: Efficient URL routing
• Static File Serving: Fast asset delivery

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/new-experiment)
3. Implement your changes
4. Add tests for new functionality
5. Commit changes (git commit -am 'Add new experiment module')
6. Push to branch (git push origin feature/new-experiment)
7. Open a Pull Request

Development Guidelines

• Follow PEP 8 Python style guide
• Add docstrings to all functions
• Include unit tests for new experiments
• Update documentation for new features

📚 Educational Impact

This platform serves as a comprehensive learning tool for:

• Engineering Students: Hands-on experience with digital systems
• Educators: Ready-to-use lab curriculum
• Researchers: Foundation for advanced signal processing studies
• Industry Professionals: Refresher training and skill development

⚠️ Known Issues & Limitations

• Some simulation modules require optimization for large datasets
• Mobile interface needs responsive design improvements
• Advanced experiments may require additional computational resources

📄 License

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

🙏 Acknowledgments

• Electronics and Communication Engineering curriculum standards
• Digital signal processing research community
• Flask and Firebase development communities

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GitHub Repository Description

Virtual Laboratory platform for Electronics & Communication Engineering with Flask, Firebase authentication, digital signal processing experiments (ASK/PSK/BFSK), interactive quizzes, and real-time simulations for hands-on learning.

Recommended Topics/Tags

Core Technologies

• flask
• python
• firebase
• pyrebase
• sqlite
• web-application

Educational Focus

• virtual-laboratory
• e-learning
• education-technology
• engineering-education
• interactive-learning
• online-experiments

Electronics & Communication

• digital-signal-processing
• ask-modulation
• psk-modulation
• bfsk-modulation
• electronics-engineering
• communication-systems
• signal-processing

Features

• quiz-system
• user-authentication
• simulations
• real-time-visualization
• laboratory-management
• academic-platform

Technical Implementation

• web-based-simulation
• educational-software
• laboratory-automation
• student-assessment
• experiment-simulation

Repository Settings

Primary Language: Python
License: MIT License (recommended for educational projects)
Include in search: ✅ Enabled
Discussions: ✅ Enable for educational discussions
Issues: ✅ Enable for bug reports and feature requests
Wiki: ✅ Enable for detailed documentation