Abstract: Systems and methods for generating telecast forecasts is provided. An automated forecasting system uses machine learning-driven a forecast model for generating forecast for various telecasts varying periods of time. Estimate values that are used to generate the forecasts may be determined based on deriving trends and correlations from telecasts data using machine learning. The forecasting system may compare estimate values and actual values associated with the various telecasts and subsequently update the forecast model based on the comparison. The forecast model may be displayed on an electronic device of a client electronic device and may be updated or influenced by telecast providers.