A schoolproject made by 5 students; Maarten Eylenbosch, Laura Render, Dylan Cluyse, Szymon Vertenten and Joran Van Belle We had to create several classifiers to determine wheter the cat, called Musti, in inside, outside or not on the image.

To run the search engine, you need to start the server.py-file from the directory prediction.

After you started the server, you can surf to localhost:5000/picture, where you can see the status of Musti.

By clicking on the button "Take picture", you get a random picture to predict if Musti is visible. By clicking the button "Retrain the model", you can retrain the model.

If the cat was not on the image or we scored to low with the accuracy, we had to take the next image.