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Procrastination Preventor using YOLO

Authors :
Jaybhaye Sangita
Patil Saraswati
Loya Riya
Rokade Tejas
Shirodkar Sahil
Suryawanshi Snehal
Source :
ITM Web of Conferences, Vol 54, p 01006 (2023)
Publication Year :
2023
Publisher :
EDP Sciences, 2023.

Abstract

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.

Details

Language :
English
ISSN :
22712097
Volume :
54
Database :
Directory of Open Access Journals
Journal :
ITM Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.163962ae39f41ab9ed34a348c5bfb80
Document Type :
article
Full Text :
https://doi.org/10.1051/itmconf/20235401006