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@article{205546,
        author = {Sanskruti Mutyal and Sanika Patil and Gautami Telmore and Shubham Vispute},
        title = {A Survey on Intelligent Habit Tracking Systems Using Artificial Intelligence, Geofencing, And Mobile Technologies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {7253-7259},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205546},
        abstract = {Habit tracking applications have gained significant popularity for improving personal productivity, health, and daily routines. However, most existing systems depend heavily on manual user input, which often leads to reduced consistency and user engagement over time. With advancements in mobile technologies and location-based services, smarter habit tracking systems have emerged that incorporate automation and context-aware features. This survey paper presents a comprehensive review of smart habit tracking systems, focusing on mobile applications and geofencing-based automation techniques. It examines various approaches used in existing systems, including reminder-based tracking, cloud synchronization, and location-aware habit detection. The study also analyzes the technologies involved, such as mobile frameworks, backend systems, notification services, and geolocation APIs. Furthermore, the survey compares different systems based on usability, level of automation, performance, and scalability. It identifies key challenges such as dependence on manual input, GPS inaccuracies, battery consumption, and lack of personalization. These limitations highlight the need for more intelligent and adaptive systems. Finally, the paper discusses future directions, including the integration of artificial intelligence, predictive analytics, and wearable device support to enhance automation and user experience. The findings of this survey aim to guide the development of efficient, scalable, and user-friendly smart habit tracking systems.},
        keywords = {Habit Tracking, Smart Habit Systems, Mobile Applications, Geofencing, Location-Based Services, Automation, Context-Aware Computing, Firebase, FastAPI, User Engagement, Productivity Applications, Real-Time Notifications},
        month = {June},
        }