Book Reading Time Tracker using Computer Vision

The Book Reading Time Tracker project employs computer vision and IoT technologies to monitor and enhance reading habits by detecting whether a book is open or closed. Using a camera-based node and a computer vision model hosted on Roboflow, the system captures video of users reading, analyzes it to determine the book's status, and communicates this information via an MQTT broker. A JavaScript client subscribes to these messages to calculate and display reading duration, providing users with insights into their reading habits, such as frequency and consistency. This automated solution encourages users to set reading goals and track progress, ultimately optimizing their reading experience for better comprehension and retention. The project illustrates a practical application of technology to facilitate effective reading time management, with potential improvements including data storage and analytics for deeper insights into reading patterns.