Exploring the role of artificial intelligence in combating climate change

Artificial intelligence (AI) is playing a significant role in combating climate change by providing innovative solutions and aiding in decision-making processes. AI technologies have the prospective to address climate change challenges across various sectors, including energy, transportation, agriculture, and conservation. AI can greatly support global efforts to address climate change and create a more long-lasting future by strengthening environmental monitoring, facilitating clean energy transitions, improving transportation systems, and optimizing resource management. However, it’s critical to recognize that AI has its limitations like data biases, energy usage of AI systems, and ethical considerations is necessary. The study is all about the sign of climate change and how AI is helping in fighting against it. The main purpose behind this study is to compare between the algorithms of machine learning for predicting temperature. It begins with the importing of the dataset along with all necessary libraries. The next step is to display the relationships between the parameters that are most useful for completing the task at hand and producing more accurate results. The dataset is cleaned and made acceptable for our model in the following stage, known as data preprocessing. Our dataset is prepared for algorithm execution after preprocessing is finished. The dataset is split into training and testing portions, which are used by the algorithms to produce the desired results. The result of all the algorithms is been compared and the best one is chosen for predicting the temperature.