The Internet of Things (IoT) technology is expanding quickly and makes it possible to connect actual devices to the Internet. In our daily lives, we spend a lot of time sitting in incorrect postures, which over time leads to a host of health issues such back discomfort, stiffness, cervical pain, etc. Here's a creative way to use IoT and OpenCV to create a smart posture detection chair that will solve the posture problem. In order to address these health concerns and aid us with our posture, this approach seeks to design a smart chair. We used various sensor interfaces to gather and process real-time data in order to identify posture. We were able to get a satisfactory result that indicates if the position is good or terrible in the Boolean value. Here, 86% accuracy was achieved in classifying the good and bad posture using the machine learning model YOLOV5.