Development of a Mobile Application with a Virtual Assistant for Sustainability and Carbon Footprint Reduction
Development of a Mobile Application with a Virtual Assistant for Sustainability and Carbon Footprint Reduction |
||
![]() |
![]() |
|
© 2025 by IJETT Journal | ||
Volume-73 Issue-8 |
||
Year of Publication : 2025 | ||
Author : Saúl Beltozar-Clemente, Enrique Ubaldo Diaz-Vega, Fernando Alex Sierra-Liñan, Heberson Issac Ramos-Conde | ||
DOI : 10.14445/22315381/IJETT-V73I8P107 |
How to Cite?
Saúl Beltozar-Clemente, Enrique Ubaldo Diaz-Vega, Fernando Alex Sierra-Liñan, Heberson Issac Ramos-Conde,"Development of a Mobile Application with a Virtual Assistant for Sustainability and Carbon Footprint Reduction", International Journal of Engineering Trends and Technology, vol. 73, no. 8, pp.91-100, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I8P107
Abstract
Sustainability and carbon footprint reduction are crucial challenges. According to the IPCC, reducing these emissions by at least 45% is essential to keep global warming within a safe limit of 1.5°C and avoid an increase of up to 2.7°C by the end of the century. In response to this issue, the Sustainable Development Goals have been adopted, especially SDG 13, which promotes urgent action on climate change. This research presents a prototype mobile application that integrates Artificial Intelligence (AI)-based virtual assistants, playing a key role in promoting sustainable practices, raising awareness of environmental impact, and managing CO2 emissions. Through emerging technologies and real-time data analysis tools, the application allows users to assess their carbon footprint and implement effective mitigation strategies. The app was implemented using the Mobile-D agile methodology, focusing on technical efficiency and user satisfaction. The evaluation results revealed averages of 4.04 and 4.07, respectively, indicating satisfactory performance in its objective.
Keywords
Mobile application, Sustainability, Carbon footprint, Artificial Intelligence, Efficiency.
References
[1] The Influence of Climate Change on Extreme Environmental Events, National Geographic Society, 2023. [Online]. Available: https://education.nationalgeographic.org/resource/influence-climate-change-extreme-environmental-events/
[2] IPCC Sixth Assessment Report, Impacts, Adaptation and Vulnerability, “Climate Change 2022: Impacts, Adaptation and Vulnerability,” Intergovernmental Panel on Climate Change, 2022.
[Google Scholar] [Publisher Link]
[3] Global Carbon Project (GCP), Global Carbon Project, 2025. [Online]. Available: https://www.globalcarbonproject.org/carbonbudget/index.htm
[4] UNEP, UNEP DTU Partnership, “Emissions Gap Report 2021,” United Nations Environment Programme (UNEP), 2021.
[Publisher Link]
[5] IPCC-Intergovernmental Panel on Climate Change, Ipcc.ch, 2016. [Online]. Available: https://archive.ipcc.ch/home_languages_main_spanish.shtml
[6] NASA, Carbon Dioxide Concentration, NASA Global Climate Change, Climate Change: Vital Signs of the Planet, 2023. [Online]. Available: climate.nasa.gov/vital-signs/carbon-dioxide/?intent=121
[7] Greenhouse Gases, MIT Climate Portal, 2025. [Online]. Available: https://climate.mit.edu/explainers/greenhouse-gases
[8] Ecological Footprint, Global Footprint Network, 2025. [Online]. Available: www.footprintnetwork.org/our-work/ecological-footprint/
[9] Leandro Vigna, Johannes Friedrich, and Thomas Damassa, The History of Carbon Dioxide Emissions, World Resources Institute, 2024. [Online]. Available: https://www.wri.org/insights/history-carbon-dioxide-emissions
[10] Climate Change, World Health Organization, 2023. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/climate-change-and-health
[11] Daniel Mitchell et al., “Attributing Human Mortality during Extreme Heat Waves to Anthropogenic Climate Change,” Environmental Research Letters, vol. 11, no. 7, pp. 1-8, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Sulistyo Heripracoyo, Fathan Zidni Imawan, and Leonardus Williem Adikusumo, “Design of the Mobile Application to Reduce the Carbon Track,” IOP Conference Series: Earth and Environmental Science, 7th International Conference on Eco Engineering Development, vol. 1324, no. 1, pp. 1-9, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Jose-Benito Perez-Lopez, Alfonso Orro, and Margarita Novales, “Environmental Impact of Mobility in Higher-Education Institutions: The Case of the Ecological Footprint at the University of a Coruña (Spain),” Sustainability, vol. 13, no. 11, pp. 1-18, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Girish Bekaroo, Divesh Roopowa, and Chandradeo Bokhoree, “Mobile-Based Carbon Footprint Calculation: Insights from a Usability Study,” 2019 Conference on Next Generation Computing Applications (NextComp), Mauritius, pp. 1-6, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Laberiano Andrade-Arenas et al., “Mobile Application: Awareness of the Population on the Environmental Impact,” Bulletin of Electrical Engineering and Informatics (BEEI), vol. 13, no. 2, pp. 1256-1267, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Orlando Iparraguirre-Villanueva et al., “Improving Environmental Sustainability: A Geolocation-Based Mobile Application to Optimize the Recycling Process,” International Journal of Interactive Mobile Technologies, vol. 17, no. 23, pp. 32-48, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Ayman Alfahid et al., “DoItRight: An Arabic Gamified Mobile Application to Raise Awareness about the Effect of Littering among Children,” IJACSA) International Journal of Advanced Computer Science and Applications, vol. 12, no. 12, pp. 151-157, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Mahfuzulhoq Chowdhury, and Nura Hadi, “Change Maker: A Mobile Application Featuring Peoples Empowerment in Practicing Environment Friendly Habits and Tackling Climate Change,” 2024 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, pp. 1-6, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Mateusz Płoszaj-Mazurek, and Elżbieta Ryńska, “Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development,” Energies, vol. 17, no. 12, pp. 1-21, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Methodologies for Mobile Application Development, Syntonize, 2021. [Online]. Available: https://www.syntonize.com/metodologias-desarrollo-de-aplicaciones-moviles/
[21] Mobile D Methodology, Scribd Inc., 2024. [Online]. Available: https://www.scribd.com/document/433386718/Metodologia-Mobile-d
[22] David Hernandez, Mobile D (Mobile Device Programming), SliedShare, 2024. [Online]. Available: https://www.slideshare.net/pipehernandez1020/mobile-d-programacion-dispositivos-moviles
[23] Initialization Phase - Mobile-D Methodology, Department of Electrical and Electronics, 1Library, 2024. [Online]. Available: https://1library.co/article/fase-de-inicializaci%C3%B3n-metodolog%C3%ADa-mobile-d.y424l2rq
[24] Manage, Sell, and Automate on WhatsApp with AI, WhatsApp, 2025. [Online]. Available: https://www.wasapi.io/
[25] ChatGPT, OpenAI, 2024. [Online]. Available: https://openai.com/chatgpt/overview/
[26] Google’s Mobile and Web App Development Platform, Firebase, 2024. [Online]. Available: https://firebase.google.com/?hl=es-419
[27] PostgreSQL: The World's Most Advanced Open Source Relational Database, The PostgreSQL Global Development Group, 2025. [Online]. Available: https://www.postgresql.org/
[28] What Is Flutter? - Mobile App Development, Aures Tic, 2019. [Online]. Available: https://aurestic.es/que-es-flutter/
[29] What Is Python? - Python Language Explained, Amazon Web Services, 2022. [Online]. Available: https://aws.amazon.com/es/what-is/python/