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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP0194

Carbon Footprint Tracking App

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP0194

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GJPS*A*MS*G*S*SN*

Gaius Jacob Philip Sundar *1S Adithyasankar *2Safwan M Shereef *3S Govind *4Sharon Sabu *5Athira S Nath *6

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Abstract

The development of an Android application de- signed to help users monitor and reduce their carbon footprint presents a powerful solution for promoting sustainable living. This app places a strong emphasis on transportation and dig- ital emissions, recognizing these as significant contributors to an individual’s environmental impact. By leveraging machine learning algorithms, the app predicts CO2 emissions based on user-provided data such as vehicle type, fuel efficiency, and travel patterns. Additionally, the app considers digital activi- ties such as streaming, gaming, and internet browsing, which contribute to indirect carbon emissions through data center usage. By combining these insights, the app provides users with a comprehensive view of their environmental impact, enabling them to make informed decisions. One of the app’s key features is real-time emission tracking, which allows users to visualize their carbon footprint as they engage in daily activities. This immediate feedback highlights areas where users can reduce emissions, encouraging proactive steps toward sustainability. To further motivate eco-friendly choices, the app integrates a reward system that incentivizes positive behavior changes, such as choosing public transport, carpooling, or reducing digital consumption. Users earn points or achievements, fostering en- gagement and encouraging consistent improvements.In addition to personalized insights and actionable recommendations, the app provides educational resources to enhance environmental awareness. These materials offer practical advice on adopting sustainable practices, empowering users to implement lasting lifestyle changes. Furthermore, social features like leaderboards and community challenges inspire users to participate actively, creating a sense of accountability and shared responsibility. By combining technology with behavioral science, the app empowers individuals to reduce their carbon footprint and collectively contribute to a greener, more sustainable future.

KEYWORDS

Carbon Footprint Sustainable Living Digital Emissions Fuel Efficiency Predictive Capability Behavioral Science

Cite This Article

Gaius Jacob Philip Sundar *1S Adithyasankar *2Safwan M Shereef *3S Govind *4Sharon Sabu *5Athira S Nath *6, "Carbon Footprint Tracking App," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

5/22/2025

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Double-Blind Peer Review

Review Rounds: 2

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0

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3

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5

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The authors declare no conflict of interest related to this research work.

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