This model uses historical financial data like price, trading volume, financial statements. It then performs cleaning and feature engineering to enhance predictive power. A respective machine learning algorithm is selected for stock evaluation. The model uses training and testing data with multiple iterations to train the algorithm and its performance is evaluated using appropriate metrics. This data is then used create our dashboards for easier interpretation and decision making. Azure services will be utilized and to showcase the results Power BI can be implemented