IoT-Based Smart Classroom Environment

For years, universities have been using traditional methods as they bring about a sense of familiarity and comfort. However, the key to increase productivity and enhance the learning experience lies in the modernization of our college campuses. Our work focuses on two of the most pressing issues—attendance and unsolicited energy consumption. Our goal was to overhaul the manual system, without compromising its integrity. We have developed a portable RFID fingerprint scanner that uses capacitance to gauge the depth of the finger and collect the fingerprint that must be activated by the professor, thereby making our system fail proof. The data generated is stored in a cloud server and is used to draw behavioral patterns. We are accustomed to leaving our fans and lights unattended, which poses a serious environmental threat. Our solution is to build a smart eco-system to detect the presence of a person and automatically switch on the necessary appliances. Further, this in combination with various algorithms can be used to adjust the speed of fans and brightness of lights based on external factors.