Home automation, which controls lighting, fans, and other electrical appliances in a house using the Internet of Things, is growing in popularity. In this work, we propose a web application that enables online control of electrical appliances such as fans and lights. A chatbot algorithm that enables users to text information to control the operation of their home's electrical appliances is the first of the web application's primary functions. The chatbot's messages are processed using natural language processing techniques. Second, any device connected to the local area network can control the appliances and other devices in the house. Furthermore, the web program used to initiate home automation has a security feature that only permits certain users to access it. Finally, it has the capacity to send an email alert in the event that motion sensors identify an intruder. This project demonstrates an advanced home automation system that combines computer vision techniques with conversational AI to provide a dual-mode, user-friendly interface through the use of a chatbot and gesture recognition. While the gesture detection system uses hand motions recorded by a camera or sensor, the chatbot uses Natural Language Processing (NLP) to allow users to operate home devices using text or voice instructions.

The proposed system aims to provide accessible solutions for people with impairments, improve user-friendliness, and reduce dependency on physical interfaces. It also has energy-saving automation, live monitoring, and security features. Gesture control combined with chatbot intelligence is a step toward more intelligent, flexible, and user- centered home environments.

Keywords : Home Automation, Chatbot, IoT, ESP32, NLP, Smart Home, Artificial Intelligence