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AI Powered Procrastination Reducer
Subject area: Science,Engineering and Technology · Area of research: Machine Learning
Abstract
Procrastination is a widespread issue that affects productivity and overall well-being, often making it harder for individuals to complete important tasks on time. This paper introduces an AI-driven system designed to help users overcome procrastination by understanding their behaviour, identifying common triggers, and providing timely interventions. The system dynamically prioritizes tasks, sends real-time reminders, and offers personalized encouragement to keep users motivated and focused. With built-in machine learning capabilities, the tool continuously adapts to individual habits and preferences, becoming more effective over time. Initial evaluations suggest that this approach can significantly improve time management and foster lasting productivity.
References
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[9] Bocconi, S., Chioccariello, A., and Earp, J. (2018). The Nordic approach to introducing computational thinking and programming in compulsory education. Report prepared for the Nordic@ BETT2018 New Delhi: Steering Group. doi: 10.17471/54007.
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How to cite this paper
@article{1708868,
author = {V Kumara Swamy, K. Srikanth, T. Saranya},
title = {AI Powered Procrastination Reducer},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {12},
pages = {1845-1850},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708868.pdf},
abstract = {Procrastination is a widespread issue that affects productivity and overall well-being, often making it harder for individuals to complete important tasks on time. This paper introduces an AI-driven system designed to help users overcome procrastination by understanding their behaviour, identifying common triggers, and providing timely interventions. The system dynamically prioritizes tasks, sends real-time reminders, and offers personalized encouragement to keep users motivated and focused. With built-in machine learning capabilities, the tool continuously adapts to individual habits and preferences, becoming more effective over time. Initial evaluations suggest that this approach can significantly improve time management and foster lasting productivity.},
month = {June},
}