Energy Shield is an AI-powered power grid dashboard designed for real-time monitoring, predictive analytics, and smart grid automation. By leveraging AI and IoT technologies, Energy Shield enhances energy management, optimizes efficiency, and secures power grids against cyber threats.
Traditional power grid monitoring systems lack predictive capabilities and automated responses to fluctuations, faults, and security threats. Energy Shield addresses these challenges by offering:
- Real-time Monitoring: Continuous data visualization, anomaly detection, and instant alerts.
- Predictive Analytics: AI-driven forecasting of energy consumption, fault detection, and theft identification.
- Smart Grid Automation: Intelligent controls to optimize grid operations and prevent outages.
- Security Features: AI-based protection against cyber threats, unauthorized access, and data breaches.
- React.js (for interactive UI and dashboards)
- TailwindCSS (for styling and responsive design)
- Express.js (Node.js framework for API handling)
- MongoDB (NoSQL database for storing energy metrics)
- Python (Flask/Django) (for AI model integration and API services)
- TensorFlow, PyTorch (for AI-driven anomaly detection and energy forecasting)
- Scikit-learn, NumPy, Pandas (for data preprocessing and statistical analysis)
- IoT Sensors (Smart meters, voltage/current sensors for real-time energy data collection)
- Apache Kafka (for real-time data streaming and processing)
- Cloud Deployment (AWS/GCP/Azure for scalability and security)
The project is live and accessible through GitHub. No dependencies or installations are required to run it locally.
- Signup First for dashbord view from Link given in Live Preview
Here are some screenshots of the project interface:
- Dashboard: View real-time energy metrics, alerts, and analytics.
- Predictive Analytics: AI-based forecasting of energy demand and fault detection.
- Control Panel: Manage grid automation settings and security features.
- Admin Panel: Role-based access for utility companies and grid operators.
- Himanshu (Leader ,Backend Developer)
- Nishikant ( Frontend Developer)
- Vishal (Backend Developer, AI Specialist)
- Aditya (Frontend Developer, UI/UX Designer)
Want to contribute? Follow these steps:
- Fork the repository.
- Create a new branch (
git checkout -b feature-branch). - Commit your changes (
git commit -m 'Add feature'). - Push to the branch (
git push origin feature-branch). - Open a Pull Request.
- IoT Sensor Integration: Expand sensor compatibility for more accurate real-time data.
- Advanced AI-driven Automation: Enhance predictive maintenance and automated energy load balancing.
- Blockchain-Based Energy Trading: Implement peer-to-peer energy transactions to promote renewable energy adoption.
- Cybersecurity Enhancements: Integrate blockchain for data integrity and decentralized security measures.
- User Role Management: Strengthen authentication and access controls for different user levels.
- Mobile App Development: Extend the platform to mobile devices for on-the-go monitoring and control.
- GitHub Repository: Energy Shield
- Short Video: View Project