Real-time student engagement monitoring with computer vision
A Streamlit application that uses webcam vision to detect study behavior, classify states, and log sessions.
Students often struggle to stay focused during study sessions, easily slipping into phone use or daydreaming, and they have no objective way to track their attention patterns over time.
AI Study Monitor addresses the challenge of maintaining focus during study sessions by providing students with a real-time analysis of their engagement behaviors. By leveraging computer vision technology, it allows users to visualize their study habits, identify distractions, and ultimately adjust their behaviors for more effective learning.
This isn't just a project — it's a simulation of how software actually gets built inside a company. You'll see how real teams gather a client's requirements, negotiate trade-offs, and ship in sprints instead of all at once, while picking up the daily rhythm of an engineer's (and tester's) week along the way.
One purchase, the entire toolkit — nothing held back, nothing sold separately.
5 architecture & design diagrams(HLD, LLD & more) — unlocked with the Standard or Premium plan.
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