Automated Attendance: Fully Automatic Attendance from classroom footage using facial recognition to eliminate manual labour, save time and avoid proxies. The Classroom footage is taken from the CCTV or a single photo is clicked. Faces are recognised from the footage and checked with a pre defined directory containing images of each student of that class.

Individual Student's Behaviour Tracking: Monitoring Classroom behaviour patterns of every student to ensure active participation, identify non-attentive students and recommending teachers to take the necessary action. Each student is monitored and his/her behaviours are tracked continuously during a class.

Audio Analysis and Detecting Noisy Classrooms: Identifying noise percentage in classrooms to enable teachers and administrators to take necessary actions. Analysing extracted audio to track syllabus progress.

Enhancing Safety: Detecting unauthorized entry of students from different classes or intruders, as well as fire and smoke to send immediate notifications to the authorities.

Students’ Seating Pattern Detection: Detecting noisy or mischievous groups in the classroom helps teachers to conduct classes more effectively.

Examination Monitoring and Evaluation: Automatic Invigilation during examinations without physical invigilators using CCTV. Using our behavior tracking model, student's behaviors are also tracked during examinations.

Seat Arrangement Checking: The seating arrangement of the Examination Hall is checked with the predefined Seat Matrix to ensure that no students are swapping seats or pursuing unfair means.

Efficient Resource Management: Monitoring usage pattern of Resources (e.g. projectors, computers) to determine usage time and automatically schedule maintenance.

Data-Driven Insights: Generate graphical data and weekly reports of individual students' performance to assist teachers with assessments and evaluations. Additionally, include an AI-based chatbot to help students and address their learning gaps.