Face Recognition Based Locker and Gesture Based Home Appliance Control System

Automation is quickly becoming one of the world's most important requirements. All people can benefit from the many sorts of automation. However, extending automation to disabled persons necessitates numerous technologies, making it prohibitive for all. Another disadvantage is that the current approach necessitates constant internet access. To address this issue, we propose a system that employs artificial intelligence to recognize human motions using a camera. We also offer an extra layer of protection to lockers by using face and gesture recognition to unlock them. Our project intends to develop a cost-effective automated home appliance system that does not require the use of the internet or a Smartphone app, thanks to artificial intelligence.