EcoLife: A Gamified Mobile Application for Integrated Student Lifestyle Management and Carbon Footprint Tracking with AI-Driven Personalised Insights

This paper presented the design of EcoLife, a gamified mobile application that brings student lifestyle tracking and carbon footprint estimation together in one platform. It combines a habit tracker, a carbon calculator, a hybrid rule-based and machine learning insights engine, and a points system that can be used for in-app privileges such as streak freezes and skip passes. The design aims to address the separation between existing tools and support SDG 3, SDG 4 and SDG 13. The proposed architecture uses Flutter, Node.js, MongoDB, Firebase and a Python machine learning service. Development is planned in four phases, followed by an evaluation using the proposed protocol. Future work will include building the prototype and conducting the pilot study, selecting regional emission factors, adding wearable and calendar integrations for passive data collection, testing reinforcement-learning-based nudges, developing a web dashboard for campus coordinators, and running a larger controlled study across several institutions to assess long-term behaviour change.

[1] R. P. Auerbach et al., “WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders,” J. Abnorm. Psychol., vol. 127, no. 7, pp. 623–638, 2018. [2] A. A. Gomes, J. Tavares, and M. H. P. de Azevedo, “Sleep and academic performance in undergraduates: A multi-measure, multi-predictor approach,” Chronobiol. Int., vol. 28, no. 9, pp. 786–801, 2011. [3] L. Hale and S. Guan, “Screen time and sleep among school-aged children and adolescents: A systematic literature review,” Sleep Med. Rev., vol. 21, pp. 50–58, 2015. [4] J. Poore and T. Nemecek, “Reducing food’s environmental impacts through producers and consumers,” Science, vol. 360, no. 6392, pp. 987–992, 2018. [5] S. Wynes and K. A. Nicholas, “The climate mitigation gap: Education and government recommendations miss the most effective individual actions,” Environ. Res. Lett., vol. 12, no. 7, Art. no. 074024, 2017. [6] Intergovernmental Panel on Climate Change, Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the IPCC. Cambridge, U.K.: Cambridge Univ. Press, 2022. [7] United Nations General Assembly, “Transforming our world: The 2030 Agenda for Sustainable Development,” Resolution A/RES/70/1, New York, NY, USA, 2015. [8] P. Krebs and D. T. Duncan, “Health app use among US mobile phone owners: A national survey,” JMIR mHealth uHealth, vol. 3, no. 4, Art. no. e101, 2015. [9] M. S. Patel, D. A. Asch, and K. G. Volpp, “Wearable devices as facilitators, not drivers, of health behavior change,” JAMA, vol. 313, no. 5, pp. 459–460, 2015. [10] E. A. Edwards et al., “Gamification for health promotion: Systematic review of behaviour change techniques in smartphone apps,” BMJ Open, vol. 6, no. 10, Art. no. e012447, 2016.