May 30, 2024
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Service categories
Service Lines
Artificial Intelligence
Domain focus
Other
Programming language
TypeScript
Frameworks
Node.js
Subcategories
Artificial Intelligence
Machine Learning
Challenge
The PoC web app should demonstrate the ability to handle multiple types of sensor data, including temperature, humidity, and pressure. The UI should be intuitive and user-friendly, allowing users to easily navigate and interact with the displayed data. Additionally, the app should incorporate features for data analysis, such as trend analysis and anomaly detection.
Developers are encouraged to leverage modern web development frameworks and libraries to expedite the development process and ensure scalability and maintainability. Collaboration and communication skills are essential for effectively integrating backend and frontend components and addressing any technical challenges that may arise during development.
The PoC web app should demonstrate the ability to handle multiple types of sensor data, including temperature, humidity, and pressure. The UI should be intuitive and user-friendly, allowing users to easily navigate and interact with the displayed data. Additionally, the app should incorporate features for data analysis, such as trend analysis and anomaly detection.
Developers are encouraged to leverage modern web development frameworks and libraries to expedite the development process and ensure scalability and maintainability. Collaboration and communication skills are essential for effectively integrating backend and frontend components and addressing any technical challenges that may arise during development.
Solution
The PoC web app successfully displays real-time sensor data using React.js for the frontend and Node.js with WebSocket for the backend. It features responsive UI design, Chart.js for data visualization, and Redux for efficient data handling. The documentation provides setup instructions and deployment guidance, ensuring seamless implementation.
The PoC web app successfully displays real-time sensor data using React.js for the frontend and Node.js with WebSocket for the backend. It features responsive UI design, Chart.js for data visualization, and Redux for efficient data handling. The documentation provides setup instructions and deployment guidance, ensuring seamless implementation.
Results
The PoC web app effectively demonstrates real-time sensor data visualization. Key features include WebSocket communication, responsive UI design, and efficient data handling with Redux. The application showcases clear and interactive data visualization using Chart.js. Comprehensive documentation offers setup instructions and deployment guidance for seamless implementation.
The PoC web app effectively demonstrates real-time sensor data visualization. Key features include WebSocket communication, responsive UI design, and efficient data handling with Redux. The application showcases clear and interactive data visualization using Chart.js. Comprehensive documentation offers setup instructions and deployment guidance for seamless implementation.