This project is a Flutter app that uses three machine learning models to predict images of Porsche models. The models were created by Flippchen and are hosted on a server.
To run this app, clone the repository from GitHub and install all dependencies. Then, start the app by running the main.dart file.
You can download the app from the Google Play Store.
Once the app is running, select an image of a Porsche model from the gallery or take a picture with the camera. Then, select one of the available models to classify the image.
After selecting a model, click the "Classify Image" button to predict the model of the Porsche in the image. The results will be displayed as a list of possible models with their respective confidence levels.
The Flutter code for the app is provided in the main.dart file. It uses the http and image_picker packages to send image data to the server and retrieve the classification results.
The app also uses the flutter_image_compress package to compress the image before sending it to the server, in order to reduce network usage and improve performance.