Smart Home Automation and Security System Using Gesture Recognition, Voice Assistance, IoT, and Machine Learning

Smart Home Automation and Security System Using Gesture Recognition, Voice Assistance, IoT, and Machine Learning 1Anik Kapat, 1Aditya Kumar, 1Honey Yadav, 1Nanda Kishor Manna, 1Muskan Sureka, 2 Tilak Mukherjee 1UG student, Department of Electronics of Communication Engineering Engineering, Haldia Institute of Technology, Haldia, Purba Medinipur, West Bengal 2Department of Electronics of Communication Engineering Engineering, Haldia Instituteof Technology, Haldia, Purba Medinipur, West Bengal ABSTRACT In order to offer a touchless and intelligent home control solution, the suggested Smart Home Automation and Security System combines gesture recognition, voice assistance, IoT connectivity, and machine learning. With an ESP32-based architecture, the system allows users to operate appliances with voice requests and hand gestures. Motion detection and facial recognition work together to improve security by capturing evidences during illicit entry and generating alarms. Environmental sensors automate appliance functioning by continuously monitoring temperature and humidity. The system is a scalable and affordable option for contemporary smart homes since it offers real-time monitoring, control, and security upgrades via a centralized web and mobile dashboard