GeoPrompt – A Mobile Applications Reminder System Based on Location

Year : 2024 | Volume :11 | Issue : 03 | Page : –
By

Prasad A. Lahare,

Smita K. Thakare,

  1. Assistant Professor, Department of Computer, Pune Vidyarthi Griha’s College of Engineering & S. S. Dhamankar Institute of Management, Nashik, Maharashtra, India
  2. Assistant Professor, Department of Computer, Pune Vidyarthi Griha’s College of Engineering & S. S. Dhamankar Institute of Management, Nashik, Maharashtra, India

Abstract

In today’s fast-paced environment, maintaining organization and order is more critical than ever. Traditional paper reminders, though useful, often fall short of meeting the efficiency demands of modern life. While mobile phone reminders are commonly used, they are typically time-based and lack the capability to address tasks that require attention at specific locations. To address this gap, we present “GeoPrompt – A Mobile Application Reminder System Based on Location,” a cutting-edge Android app that improves task management by utilizing Google Maps and GPS technology. GeoPrompt transforms how individuals manage their tasks by automatically associating them with specific locations. This location-based reminder system ensures that reminders are triggered only when users are present at the designated location, making it highly relevant and timely. By integrating Google Maps and GPS, GeoPrompt provides precise location awareness, ensuring that users receive reminders exactly where they are needed.
The application caters to a wide range of scenarios, from reminding users to pick up groceries when near a store, to notifying them about work-related tasks upon arriving at the office. This functionality not only improves task management but also increases overall efficiency in our mobile-centric era. GeoPrompt’s user-friendly interface and seamless integration with existing mobile technologies make it an indispensable tool for anyone looking to enhance their organizational skills. By utilizing state-of-the-art technology, GeoPrompt offers a significant advancement over traditional and time-based reminder systems. It addresses the need for location-specific reminders; ensuring tasks are completed at the most appropriate time and place. In doing so, GeoPrompt exemplifies how modern technology can be harnessed to meet the evolving needs of users, ultimately leading to better productivity and task management in everyday life.

Keywords: geofence; trigger; location-based services; GPS technology, Location-based reminders

[This article belongs to Journal of Mobile Computing, Communications & Mobile Networks (jomccmn)]

How to cite this article:
Prasad A. Lahare, Smita K. Thakare. GeoPrompt – A Mobile Applications Reminder System Based on Location. Journal of Mobile Computing, Communications & Mobile Networks. 2024; 11(03):-.
How to cite this URL:
Prasad A. Lahare, Smita K. Thakare. GeoPrompt – A Mobile Applications Reminder System Based on Location. Journal of Mobile Computing, Communications & Mobile Networks. 2024; 11(03):-. Available from: https://journals.stmjournals.com/jomccmn/article=2024/view=172019



Fetching IP address…

References

  1. Sheikh A, Shaikh B, Nadar SR, Shunmugaperumal V. Relarmy-A Location Based Alarm Reminder System for Mobile Application. In2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) 2022 Jan 20 (pp. 1793-1800). IEEE. DOI: 1109/ICSSIT53264.2022.9716393
  2. Sohn T, Li KA, Lee G, Smith I, Scott J, Griswold WG. Place-its: A study of location-based reminders on mobile phones. InUbiComp 2005: Ubiquitous Computing: 7th International Conference, UbiComp 2005, Tokyo, Japan, September 11-14, 2005. Proceedings 7 2005 (pp. 232-250). Springer Berlin Heidelberg.
  3. Kanfade MM, Ambade SD, Bhagat AP. Location based Notification System. In2018 International Conference on Research in Intelligent and Computing in Engineering (RICE) 2018 Aug 22 (pp. 1-6). IEEE. DOI: 1109/RICE.2018.8509040
  4. Li N, Chen G. Analysis of a location-based social network. In2009 international conference on computational science and engineering 2009 Aug 29 (Vol. 4, pp. 263-270). IEEE.
  5. Ghinita G, Nguyen K, Maruseac M, Shahabi C. A secure location-based alert system with tunable privacy-performance trade-off. GeoInformatica. 2020 Oct;24(4):951-85.
  6. Joe MC, Raj JS. Location-based orientation context dependent recommender system for users. J. Trends Comput. Sci. Smart Technol.(TCSST). 2021 Apr 10;3(01):14-23.
  7. Patel V, Kapadia D, Ghevariya D, Pappu S. All India grievance redressal app. Journal of Information Technology and Digital World. 2020 May 18;2(2):91-9.
  8. Yao R, Wang F, Chen S, Zhao S. GroupSeeker: An Applicable Framework for Travel Companion Discovery from Vast Trajectory Data. ISPRS International Journal of Geo-Information. 2020 Jun 20;9(6):404.
  9. Namiot D. GeoFence services. International Journal of Open Information Technologies. 2013 Dec 3;1(9):30-3
  10. Uddin MS, Allayear SM, Das NC, Talukder FA. A location based time and attendance system. International journal of computer theory and engineering. 2014 Feb 1;6(1):36.
  11. Hofmann-Wellenhof B, Lichtenegger H, Collins J. Global positioning system: theory and practice. Springer Science & Business Media; 2012 Dec 6.

Regular Issue Subscription Review Article
Volume 11
Issue 03
Received June 28, 2024
Accepted August 13, 2024
Published September 14, 2024

Check Our other Platform for Workshops in the field of AI, Biotechnology & Nanotechnology.
Check Out Platform for Webinars in the field of AI, Biotech. & Nanotech.