Issue |
ITM Web Conf.
Volume 54, 2023
2nd International Conference on Advances in Computing, Communication and Security (I3CS-2023)
|
|
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Article Number | 01006 | |
Number of page(s) | 9 | |
Section | Computing | |
DOI | https://doi.org/10.1051/itmconf/20235401006 | |
Published online | 04 July 2023 |
Procrastination Preventor using YOLO
1) Computer Engineering Department, Vishwakarma Institute of Technology, Pune, India
2) Computer Engineering Department, Vishwakarma Institute of Technology, Pune, India
3) Computer Engineering Department, Vishwakarma Institute of Technology, Pune, India
4) Computer Engineering Department, Vishwakarma Institute of Technology, Pune, India
5) Computer Engineering Department, Vishwakarma Institute of Technology, Pune, India
6) Computer Engineering Department, Vishwakarma Institute of Technology, Pune, India
According to research, procrastination is a frequent and damaging type of self-regulation failure. With so many deadlines and pressure to complete their work, students struggle with academic procrastination. As a result, even feeling unwell can delay coursework and affect academic progress. Not even Students do procrastinate as if they have to do something, employees and other people do the same. This delay affects many things. It affects our mental health and leads to stressful lives. To reduce this procrastination, a software model is developed called “Procrastination Preventer using YOLO” that helps to avoid procrastination, reduce stress and help complete a specific task on time. This model also has a pomodoro timer which will also help in managing time efficiently. The intriguing thing about it is that, it has integrated text-to-speech technology. It means that in addition to notifying the user by displaying the text, the timer will also verbally announce it at the same time. This model is built using Python, Jupyter Notebook, OpenCV, Pomodoro timer, Text to Speech converter.
Key words: Object Detection / YOLOv5 / Pomodoro timer / Winsound / Text to Speech
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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