Basic functionalities which will lead to the completion of the project will be added in this proposal. Adding desktop browsers with options of dimension change, zooming across the webpage in both desktop and mobile browser, adding orientation mode for mobile browser. Adding a tag to website for dynamic or static content. Selecting advertisements in websites which will be trained on a Faster R-CNN model to mark them compatible in two screenshots. Training and testing different models on different types of queries ie, different types of web compatibilities as selected by user and maintaining a database with these results including machine information and training time along with the network architecture. Finally, create a test.py wich will collect screenshots in complete search fashion, chose from the database the best model for the given type of query and give result of percentage compatibility.