SALAM: Smart Automated Levels, Alerts & Monitoring
Both engineers and homeowners are becoming more and more interested in the efficiency, safety, and quality of the modern home. However, rather than offering a cohesive and intelligent framework, the majority of current smart home solutions simply handle discrete facets of house monitoring, such as gas detection, appliance management, or simple motion sensing. As a result, this capstone project suggested an integrated system that combines remote access, appliance automation, environmental monitoring, and anomaly detection into a single interactive platform. Distributed sensors, a local gateway for real-time data processing, a Flask-based backend, an InfluxDB time-series database, and a Flutter mobile application for visualization and control are among the hardware and software elements that make up the system’s core.
The study provides detailed justifications for every design choice, from storage technologies to communication protocols. In addition to enabling automatic and remote management of lights and appliances, the proposed solution offers continuous monitoring of gas levels, CO2 concentration, water level and pH, motion, vibration, and temperature. This project greatly improves everyday living’s safety and convenience aspects by offering a unified, safe, and data-driven smart home architecture, dubbed SALAM (Smart Automated Levels, Alerts & Monitoring).
Project Details
- Student(s): Caren Al Samra, Mohammad Ayoub, Hussam Kobeissi, and Ibrahim Serhan
- Advisor(s): Dr. Wissam Fawaz
- Year: 2025-2026