I need an application that lets me remotely control my industrial equipment in the sense of keeping an eye on its live performance data from anywhere. The machinery is already fitted with basic IoT-ready sensors; what is missing is the cloud-to-device bridge and a clean user interface where I can watch throughput, temperature, and fault codes in real time. Here is the flow I have in mind: • Edge device pushes sensor readings via cellular data to a secure backend (MQTT or HTTPS—use what you are most comfortable with). • Backend stores, normalises, and exposes that data through an API. • A web or mobile dashboard pulls the feed and displays key performance metrics with alerts when values drift outside preset thresholds. That monitoring dashboard is the first milestone and the only compulsory feature right now. Being able to start/stop operations or adjust settings remotely could come later, so please write the code in a way that keeps those hooks open. Deliverables • Fully deployed backend (cloud function, database, and message broker) • Responsive dashboard with live charts and alert logic • Clean documentation: architecture diagram, setup steps, and API endpoints I will test by connecting a demo PLC over cellular and verifying that its performance numbers appear on the dashboard within three seconds of emission, with alerts firing correctly when thresholds are crossed.