MRI
MRI India Journals Vol. 15 No. 1 (2026)

Al-Powered Productivity Assistant for Students and Professionals

Authors

  • Devendra Singh Kushwaha Assistant Professor- Dept. of Computer Engineering, SITRC Nashik
  • Sahil Mustak Shaikh B.E – Dept of Computer Engineering, SITRC Nashik
  • Sahil Sanjay Patil B.E – Dept of Computer Engineering, SITRC Nashik
  • Vishavajit Vijay Patil B.E – Dept of Computer Engineering, SITRC Nashik
  • Shivam Prasher Puranchand B.E – Dept of Computer Engineering, SITRC Nashik

DOI:

https://doi.org/10.65521/ijacect.v15i1.2282

Keywords:

Adaptive Productivity Task Management Habit Tracking Personalization Engine Offline Applications Conversational Chatbot Academic Productivity User-Centered Design

Abstract

Managing productivity has become a central challenge for students and professionals who must balance academic, personal, and professional responsibilities. Existing productivity tools often function in isolation, focusing either on task scheduling or habit monitoring, while failing provide a unified framework that adapts to user-specific behavior. These limitations result in fragmented workflows, low engagement, and missed opportunities for personal growth. to The proposed project introduces an Intelligent Adaptive Productivity Assistant that task management, habit tracking, and real-time personalization into a single offline-capable platform. Unlike conventional solutions, this system incorporates a rule-based personalization engine, a conversational chatbot interface, and visual progress analytics. Users can organize their daily tasks, track long-term habits, and receive tailored recommendations without relying on constant internet connectivity costly subscriptions. or From an academic perspective, the system provides a learning opportunity in applying concepts of artificial intelligence, rule-based modeling, data visualization, and web development within a practical, user-centered application. In practical terms, the project has the potential to reduce stress, improve consistency, and enhance productivity for individuals in education and professional domains. The expected contribution of this project is not only the implementation of a technically robust tool but also the creation of an accessible, user-friendly solution that directly addresses the productivity challenges faced in resource-constrained environments.

Downloads

Published

2026-04-16

How to Cite

Kushwaha, D. S., Shaikh, S. M., Patil, S. S., Patil, V. V., & Puranchand, S. P. (2026). Al-Powered Productivity Assistant for Students and Professionals. International Journal on Advanced Computer Engineering and Communication Technology, 15(1), 146–155. https://doi.org/10.65521/ijacect.v15i1.2282

Issue

Section

Articles

Most read articles by the same author(s)

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.