Abstract: Carbon emissions are one of the major contributors to global climate change and environmental degradation. Monitoring and reducing carbon emissions has become an important challenge for industries, governments, and environmental organizations. The project titled “AI-Based Carbon Emission Prediction and Optimization Using Machine Learning” focuses on developing an intelligent system that can accurately predict carbon emission levels and suggest optimization strategies using advanced machine learning techniques. The main objective of this system is to analyze historical emission data and identify patterns that help in forecasting future carbon emission levels.In this system, various machine learning algorithms are used to process and analyze large datasets related to energy consumption, industrial activities, transportation usage, and environmental factors. These datasets are trained using predictive models to estimate future carbon emissions with improved accuracy. Artificial Intelligence helps in identifying trends, correlations, and hidden patterns in the data that traditional methods may fail to detect. The system also evaluates different influencing factors such as fuel consumption, electricity usage, and production levels to determine their impact on carbon emissions.The proposed system aims to provide efficient optimization techniques that help reduce carbon emissions by suggesting better energy management strategies and resource utilization methods. By implementing predictive analytics, organizations and policymakers can take preventive actions and make informed decisions to control emission levels. The system can also be integrated with smart environmental monitoring platforms to support sustainable development initiatives.Overall, this project demonstrates how Artificial Intelligence and Machine Learning can play a significant role in environmental protection by enabling accurate prediction, monitoring, and optimization of carbon emissions. The developed system contributes to creating a smarter and more sustainable future by helping industries and governments adopt eco-friendly practices and reduce their environmental impact.

Keywords: Artificial Intelligence, Machine Learning, Carbon Emission Prediction, Environmental Monitoring, Predictive Analytics, Sustainability.

Downloads: | DOI: 10.17148/IARJSET.2026.13350