Paper Title
EcoPulse: A Personalized System for Tracking and Predicting Carbon Emissions Using AI Techniques
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Registration ID: IJNRD_323229
Published ID: IJNRD2604200
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Keywords
Carbon Emissions, Machine Learning, Random Forest, K-Means Clustering, Computer Vision, Sustainability, AI-based Prediction, Carbon Footprint Tracking
Abstract
In the last few years, there has been an upsurge in environmental issues and this is particularly because of the growing carbon emissions. Although industries are to be blamed, personal actions like traveling daily and energy consumption also play a significant role. Nevertheless, the majority of the population do not know their personal carbon footprint, primarily due to the fact that the current tools are hard to operate and have to be fed manually on a regular basis. Through this project, we have come up with EcoPulse, web-based system that will ensure carbon tracking is easy and more practice friendly to ordinary users. Less user work is one of the major concepts of this system. We did not enter the information about travelling manually but applied an image-based method where the odometer numbers are read by taking a picture of the vehicle dashboard. This renders the system to use in the long-term. The system also analyzes the user behavior along with monitoring the behavior. With the help of the clustering methods, users will be grouped in categories according to their patterns of emission. This assists in knowing the contribution of various users to emission in different ways. Another model that we used to examine the short-term emission trends is the Random Forest model. In the process of doing this we noted that insufficient data influences the accuracy of prediction. Nevertheless, in most instances, the model could come up with fairly accurate estimates. On the whole, it can be seen that automation and machine learning can be effectively used to make carbon tracking systems more practical.
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How To Cite (APA)
Sai Eshwar Reddy, Shaik Faisal Ahmed, Shaik Mohammad Junaid, & Avula Venkatesh (April-2026). EcoPulse: A Personalized System for Tracking and Predicting Carbon Emissions Using AI Techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(4), b783-b787. https://ijnrd.org/papers/IJNRD2604200.pdf
Issue
Volume 11 Issue 4, April-2026
Pages : b783-b787
Other Publication Details
Paper Reg. ID: IJNRD_323229
Published Paper Id: IJNRD2604200
Research Area: Other area not in list
Author Type: Indian Author
Country: banglore, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2604200.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2604200
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