AI energy control solution
We've created an AI-powered energy management platform to help a real estate client monitor and optimize electricity consumption across properties. The system was designed to:
- Monitor electricity usage, indoor humidity, and occupancy in real time
- Deliver AI-driven predictive analytics to optimize energy consumption proactively
- Enable instant device status notifications and shared family access
- Integrate IoT hardware with existing electrical infrastructure, including legacy systems
- Process large data streams in real time for immediate user and operator feedback
The platform unifies smart home automation, energy intelligence, and seamless IoT integration in a single scalable solution.
Team structure
Mobile developer, Backend developer, AI / ML engineer, Data engineer, Frontend developer, UI/UX designer, Hardware developer, Mechanical engineer, Embedded engineer, DevOps engineer, QA engineer
Used technologies
Node.js, React, Flutter, AWS
Development approach
We built the backend on Node.js to handle real-time data streams and support robust business logic for energy monitoring and device management. AI models were developed and trained to power predictive analytics, enabling proactive optimization of energy consumption.
A cross-platform mobile app built with Flutter delivered key features — electricity monitoring, occupancy detection, humidity tracking, and real-time notifications.
React powered the frontend with analytics dashboards for operators, while AWS provided scalable infrastructure to support seamless IoT integration and real-time data processing.
Result
The AI Energy Control platform replaced manual energy oversight with a scalable, intelligent ecosystem for real-time monitoring and predictive optimization. The solution positioned the client as an innovation leader and early adopter of AI-powered technologies, opening new business development opportunities and elevating end-user engagement.
A robust backend infrastructure enables comprehensive analytics tracking, allowing operators to act on insights promptly and efficiently. The deployed hardware and software integration successfully tackled the challenges of retrofitting existing electrical systems, ensuring seamless IoT connectivity across properties.
The application is live on both App Store and Google Play, actively used by property owners to reduce energy consumption, lower costs, and contribute to a more sustainable future.