International Journal of Leading Research Publication

E-ISSN: 2582-8010   •   Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Monthly Scholarly International Journal

Call for Paper Volume 7 Issue 4 April 2026 Submit your research before last 3 days of to publish your research paper in the issue of April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 4
April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

AR-enhanced Carbon Footprint Tracking

Author(s) Mrs.A. Rupa, K. Gayathri, K. Keerthana, J. Manjula
Country India
Abstract Carbon emissions from things we do every day, like driving, are a big part of climate change. But most people still have a hard time keeping track of and understanding their carbon footprint because the tools that are available now rely too much on manual data entry, which is slow, inconvenient, and often wrong. This project offers a contemporary and intuitive solution utilizing Augmented Reality (AR) and real-time object detection. The system automatically recognizes vehicles or modes of transportation when the device's camera is pointed at them. It then uses predefined environmental datasets to quickly estimate their CO₂ emissions. The AR-based interface makes the process more fun and interactive, so users don't have to type anything in by hand. It also helps users see their impact on the environment more clearly. The system not only estimates emissions, but it also looks at the calculated CO₂ percentage and gives the user simple, text-based suggestions for sustainable environment. This helps people not only learn about their current carbon footprint, but also how they can lower it in real life. Overall, the system is a smart, efficient, and easy way to keep track of transportation-related carbon footprints. It encourages people to be more aware of their daily choices that are good for the environment.
Keywords Carbon Footprint, Augmented Reality, Real-Time Tracking, CO₂ Emissions, Sustainability, Environmental Awareness.
Field Engineering
Published In Volume 7, Issue 4, April 2026
Published On 2026-04-06
DOI https://doi.org/10.70528/IJLRP.v7.i4.2085
Short DOI https://doi.org/hbv76q
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJLRP DOI prefix is
10.70528/IJLRP

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 12 Cover Page Vol 6 Isu 10 Cover Page Vol 6 Isu 9

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJLRP
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijlrp.com