International Journal of Scientific Research and Engineering Development

Climate change has emerged as one of the greatest problems in the world today, causing global warming, extreme weather conditions, rising sea levels, and environmental deterioration[2]. The fulfilment of the sustainable development goal 13 (climate action) would require accurate prediction, timely warning, and evidence-driven decision-making. This study recommends a climate-focused solution which would use machine learning algorithms and deep learning methods to analyse climate information and take pre-emptive actions[5]. The system will receive input from historical and current information on various parameters including temperature, precipitation levels, carbon dioxide emission, air pollution index, rate of deforestation, and weather. Machine learning algorithms like linear regression, random forest, and support vector machines would be used to identify patterns and forecast climate information[10]. Long short-term memory (LSTM) would be applied in deep learning to predict climate events including temperature increase, precipitation variability, and climate extremes. The system will make predictions about future climate changes, detect anomalies, and assess environmental risks.

Ponnaganti Sreenivas Rao, Nagulapally Vardhan, J.Likitha Varshini, P.Sujith Chary, Rudra Narayan Rout,"Intelligent Climate Predictor" International Journal of Scientific Research and Engineering Development, V9(3): Page(2694-2706) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.