• Ashlesha Mahore
• Prof. Prerna Dangra
• Prof. Anupam Chaube

Power BI Integrated Rainfall Prediction for Pune Region Using Deep Learning is a novel approach aimed at leveraging advanced technology to enhance rainfall prediction accuracy. This project addresses the critical need for precise and timely forecasting in the Pune region, which is susceptible to variable weather patterns and seasonal fluctuations. By integrating Power BI, a powerful business analytics tool, with deep learning techniques, this initiative offers a comprehensive solution for stakeholders involved in weather monitoring and disaster preparedness. The primary objective of this project is to develop a predictive model capable of forecasting rainfall patterns with high accuracy. Through the utilization of deep learning algorithms, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), historical rainfall data and relevant meteorological variables are analyzed to generate forecasts. The integration of Power BI enables users to visualize and analyze the prediction results in an intuitive and interactive manner, facilitating informed decision-making processes.

Power BI, rainfall prediction, deep learning, Pune region, weather forecasting

"INSIGHTS FROM THE CLOUDS: ENHANCING RAINFALL PREDICTION IN PUNE REGION THROUGH DEEP LEARNING INTEGRATION WITH POWER BI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.287-294, June-2024, Available :http://www.jetir.org/papers/JETIRGI06045.pdf

"INSIGHTS FROM THE CLOUDS: ENHANCING RAINFALL PREDICTION IN PUNE REGION THROUGH DEEP LEARNING INTEGRATION WITH POWER BI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp287-294, June-2024, Available at : http://www.jetir.org/papers/JETIRGI06045.pdf