AI-Driven Carbon Emissions Tracking and Mitigation Model

Climate change has become an urgent and all-encompassing concern, demanding an immediate and thorough response. In climate change mitigation, innovations and technological developments play a pivotal role in supporting sustainable practices. However, there is a scarcity of artificial intelligence innovations capable of integrating multiple mitigation strategies into a comprehensive model for tracking, educating, and mitigating climate change. This paper introduces a state-of-the-art AI-driven Carbon Emission Tracking and Mitigation Model which encompasses forecasting emissions based on user prompts, presenting descriptive scenarios to explain various climate change situations, and recommending mitigation strategies through Artificial Intelligence Large Language Models (LLMs). The model facilitates trace surveillance through drones and sensors, ensuring a thorough monitoring of emissions with real-time reporting to relevant authorities. This artificial intelligence model employs a machine learning algorithm that relies on the ARIMA model for forecasting, achieving an impressive accuracy rate of 97%. Finally, a system prototype was development serving as a tangible proof of concept for the proposed ideas contributing to a more sustainable world.