Result: Home Automation Using Internet of Things and Machine Learning

This paper proposes an energy-efficient home automation system leveraging the Internet of Things (IoT) and machine learning. The system, implemented in Python on a Raspberry Pi, enables remote control of appliances (lights, televisions, air conditioners) via a web interface accessible from any local network device. Machine learning is introduced in the second phase, utilizing linear regression to automate appliance management based on historical data stored in a database. This work demonstrates the feasibility of IoT and machine learning for cost-effective and efficient home automation, laying the groundwork for the future development of database-driven smart homes with advanced machine learning algorithms.