IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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A REAL-TIME STRESS MONITORING AND BEHAVIORAL ANALYSIS SYSTEM USING FLUTTER FLOW AND FIREBASE

AUTHORS:
Pavithra P
Vanitha .K
Mentor
Affiliation
,Department of Computer Technology, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

The mental health of college students has grown significantly in recent years. Nearly 60% of students experience severe anxiety, and about 40% report symptoms of depression, according to research. Despite this, students in distress seldom receive assistance when they truly need it because campus counseling services frequently have waiting periods of two to four weeks. This article presents Stress Buster, a smartphone app designed to monitor stress levels in real time and provide tailored assistance before issues have a chance to get worse.


The app gathers each user's self-reported stress levels, screen time, sleep duration, mood ratings, and study time every day. A weighted classification formula (Mood×30% + Sleep×20% + Screen×20% + Self-Report×30%) is used to process these inputs and assign each user to one of four stress categories: Low, Moderate, High, or Critical. FlutterFlow and Firebase, which work together to manage secure login, real-time data syncing, stress trend charts, Spotify music integration, and in-app stress-relieving games, are the foundation of the application. The system matched user-reported stress levels 85% of the time in pilot testing, and active users reported a 23% decrease in stress. These findings lend credence to the idea of combining interactive, gamified relief tools with behavioral monitoring

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P, P. & .K, V. (2026). A Real-Time Stress Monitoring and Behavioral Analysis System using Flutter Flow and Firebase. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.138

P, Pavithra, and Vanitha .K. "A Real-Time Stress Monitoring and Behavioral Analysis System using Flutter Flow and Firebase." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.138.

P, Pavithra, and Vanitha .K. "A Real-Time Stress Monitoring and Behavioral Analysis System using Flutter Flow and Firebase." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.138.

References
[1] WHO Report, "Mental Health and Stress Management," 2023.

[2] "National College Health Assessment III: Reference Group Executive Summary," American College Health Association, 2022.

[3] Affective Computing and Emotional Monitoring Systems, R. W. Picard, MIT Press, 2019.

[4] Firebase Authentication and Cloud Firestore Documentation, Google Developers, 2024.

[5] "Gamification in Mental Health Applications: Enhancing Engagement and Well-Being," S. Birk and J. Mandryk, Journal of Digital Health, vol. 7, no. 2, pp. 112–125, 2021

[6] M. Firth et al., "The Effectiveness of Smartphone-Based Mental Health Interventions: A Meta-Analysis," World Psychiatry, vol. 16, no. 3, pp. 287–298, 2017.

[7] D. Wang, J. Wang, Y. Li, and X. Chen, "Mobile Health Monitoring Systems for Stress Detection Using Behavioral Analytics," IEEE Access, vol. 8, pp. 123456–123468, 2020.

[8] "Mental Health Smartphone Apps: Review and Evidence-Based Recommendations," E. Bakker, D. Kazantzis, R. Rickwood, and N. Rickard, JMIR Mental Health, vol. 3, no. 1, e7, 2016.

[9] "Stress Recognition Using Wearable Sensors and Mobile Phones," A. Sano and R. W. Picard, IEEE Transactions on Affective Computing, vol. 4, no. 2, pp. 121–135, 2013.

[10] J. Torous, P. Wisniewski, G. Bird, and J. Carpenter, "Building a Digital Mental Health Ecosystem: Prospects and Difficulties," The Lancet Psychiatry, vol. 6, no. 11, pp. 910–920, 2019.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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