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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60959
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
In todayâs world, carbon footprints play a significant role in environmental discussions. The term âcarbon footprintâ refers to the total amount of carbon dioxide emissions produced by industries, individuals, and various sectors. Reducing carbon emissions contributes to a cleaner and healthier environment. Numerous studies have explored different methods and techniques for calculating these emissions. This project focuses on calculating carbon footprints using data science and Python, a versatile programming language. The front-end is designed using HTML, while machine learning techniques are employed for the analysis. The code runs upon receiving input and provides comprehensive calculations of historical emissions and their contributions to atmospheric carbon levels.
KEYWORDS
Publication Date
4/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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