Contact person: AI-Enhanced Solar IoT Web App

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Location: Ivrea, Italy

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I have a solar-powered smart product that already reports data through a 4G/5G SIM connection. All device protocols, endpoints, and sample payloads are ready on my side; what I need now is a browser-based application that turns those raw messages into a clear, interactive experience.

Core objectives
• Real-time monitoring – a live dashboard that streams the device’s status the moment it changes.
• Remote control & scheduling – authenticated users must be able to push commands or build time-based rules that the device follows autonomously.
• AI-driven automation – automatic scheduling that learns from usage patterns and environmental inputs so routine adjustments happen without manual intervention.

Workflow highlights
You will connect to the existing IoT layer (MQTT or REST — both are exposed) and design a responsive front end where users can:
1. See current performance, historical charts, and alerts at a glance.
2. Create, edit, and override schedules in real time.
3. Toggle the AI module on/off and review its recommended actions before they are sent.

Technology is flexible as long as the stack is common and maintainable (React, Vue, or similar on the front; Node, Python, or Go on the back). Model training can leverage a lightweight ML library; I only need automatic scheduling for now, not predictive maintenance or voice control.

Deliverables
• Source code in a Git repo with clear commits
• Deployed web app (cloud or containerised)
• Setup & handoff documentation that lets my team extend additional AI features later

Once we agree on milestones I will share API keys, a sandbox device, and sample datasets so you can develop and test end to end." (client-provided description)