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This Directed Research Project is on Forecasting the Cement Prices using Machine Learning Techniques. For which the daily cement data has been collected from the past 8 years from 2014 to 2022. The model was created in the Google Collaboration platform, and the forecasting method used was FB (Facebook) Prophet Model. Then after Validation part was taken, under which the existing site was selected for the Analysis.