International Journal on Science and Technology

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CarbonWise: Smart Carbon Footprint Tracking And Reduction System

Author(s) Ms. Antara Thakur, Mr. Ayyori Raviteja, Dr. Ch. Ramesh Babu, Dr. V. Subba Ramaiah, Dr. K. Rajitha
Country India
Abstract Carbon footprint is described as the total emissions of greenhouse gases primarily composed of carbon dioxide caused by humans, a group of individuals, or any other activity. Greenhouse gases are generated through a variety of activities including the use of electrical energy, transportation, consumption of
products, production of foods, and others. Tracking the carbon footprint is important since it identifies the source of emissions and methods through which they can be minimized. Our system called CarbonWise involves the creation of a web application that would calculate and track an individual’s carbon footprint
depending on the activities undertaken on a daily, weekly, or monthly basis. This would be done based on data related to greenhouse gas emissions that have been calculated in various studies and would involve calculations of greenhouse gas emissions of electricity, heating, transport, diet, and waste. We have also
incorporated a machine learning algorithm that analyzes previous behavior and provides customized recommendations for reducing greenhouse gas emissions. Recommendations can range from adopting renewable energy sources, optimizing travel, and reducing the use of single-use items. In order to enhance
user engagement and foster healthy competition among users, the website incorporates gamification elements that allow users to establish environmental objectives and track their achievements. Through simplifying climate data and providing practical guidance, our system enables individuals to contribute to
emission reduction efforts on a global scale.
Keywords Carbon Tracking, Sustainability, ML Insights, Behaviour Analysis, Eco Decisions, Gamification
Field Computer Applications
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-04-28
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