StarkPredict is a cutting-edge predictive maintenance platform leveraging StarkNet's blockchain technology to enhance data security and integrity in Industrial Internet of Things (IIoT) environments. This repository contains the complete solution, including backend, frontend, machine learning models, and blockchain integration.
- Real-Time Monitoring: Continuous data collection from IIoT devices.
- Predictive Analytics: Machine learning models to predict equipment failures.
- Secure Data Storage: Decentralized data storage and smart contracts on StarkNet.
- User-Friendly Interface: Interactive dashboards for monitoring and managing maintenance schedules.
backend: This folder contains the backend server code for the StarkPredict platform. The backend is built using Node.js.frontend: This folder contains the frontend code for the StarkPredict platform, built using React.js.ml_models: This folder contains the machine learning code and models used for predictive maintenance.blockchain: This folder contains the smart contracts and blockchain integration code for StarkPredict.database: This folder contains the setup and schema definitions for MongoDB.docs: This folder contains documentation for the StarkPredict platform.latex_paper: This folder contains the LaTeX files for the scientific research paper.
Prerequisites are listed next:
- Node.js
- MongoDB
- Hardhat
- StarkNet
Access the web interface via http://localhost:3000 to interact with the StarkPredict platform. Monitor real-time data, view predictive analytics, and manage maintenance schedules through the dashboard.
Detailed documentation can be found in the docs/ directory, including system design, architecture diagrams, and API documentation.
This project is licensed under the MIT License. See the LICENSE file for more details.
For any questions or issues, please open an issue on GitHub or contact the project maintainers.