IOT solution - Smart refrigerator
The project focuses on developing a web-based application that connects with sensors in refrigeration systems. It gathers real-time data from these sensors and displays it through a user-friendly interface. Users can view the information using maps, charts, and tables, and can apply filters and sorting options when necessary. The application also sends alerts when data exceeds set thresholds, enabling users to respond swiftly.
**Issue:** The client struggled to effectively manage and monitor the data produced by the sensors in their refrigeration units. The current system lacked a user-friendly interface and efficient data analysis tools, which hindered prompt identification and resolution of equipment faults or performance anomalies.
**Proposed Solution:** The recommended approach is to create a web-based application capable of collecting, storing, and displaying sensor data. This application will feature intuitive data visualization options, such as maps, charts, and tables, along with functions for filtering, sorting, and notifying users of threshold breaches. This enhancement will grant the client improved oversight of their refrigeration equipment and facilitate quicker responses to any issues.
**Outcome:** Once the project is finalized, the client will have a robust software solution for managing and monitoring their sensor data effectively. They will be equipped to visualize information, analyze equipment performance, and receive alerts about threshold exceedances. This application will allow the client to make well-informed decisions, reduce equipment downtime, and optimize maintenance procedures.
**Technologies Used:** React, Redux, Node.js, AWS Amplify, Material-UI, Redux Toolkit, Redux Saga, React Testing Library, Axios, Leaflet, Plotty.js, and Date-fns.