INTELLIGENT HOME AUTOMATION USING MACHINE LEARNING AND VOICE CONTROL

The Machine Learning-Enabled Voice Controlled Home Automation System is another smart automation solution designed to automate and optimize household lighting and appli- ance control not only with voice commands but also predictive in- telligence. The system integrates voice commands through Google Assistant based voice control with machine learning algorithms for enhancing convenience, energy efficiency, and user adapt- ability. Users can control the devices (like lights, fans, and other electrical appliances) through voice, which gets processed via Google Assistant and will be forwarded to Node MCU (ESP8266) microcontroller connected to relay modules. In parallel, a Linear Regression model does prediction for lighting devices ON/OFF timing history-g Hall Light, Room Light, and Lawn/Gate Light-to find out the activation/kill times in the future. It thus facilitates automatic adjustment of lighting schedules according to usage behavior and saves a lot of energy with smart scheduling. The system operates on manual, voice, and automated controls to make it accessible to all users, including older persons and differently-abled people. In general, the project depicts how IoT, cloud connectivity, and machine learning together transform traditional home systems into smart, adaptive, and sustainable smart environments..