-Build the model using the accuquired data (Done) -Train and Test run the Model (Done) -Optimise the model for improved Accuracy -Increase the accuracy above 85% -Build Neural Network -Made the Accuracy to 81.8%
-Build the front end (Required) -Try in Azure or AWS -Deploy in Heroku -Try streamlit