-Dataset Context The recipes dataset contains 522,517 recipes from 312 different categories. This dataset provides information about each recipe such as cooking times, servings, ingredients, nutritional values, instructions, and more. The reviews dataset contains 1,401,982 reviews from 271,907 different users. This dataset provides information about the author, rating, review text, and more
https://www.kaggle.com/irkaal/foodcom-recipes-and-reviews
-First step Notebook- CLEAN _1
Clean up and prepare the dataset.
-Second step Notebook - Download photos A total of 10000 images were downloaded, divided into Train and Test. I have split the Train folder and the Test folder into 2000/500.
- Third step Notebook-MobileNetV2_model
Create a base model from the MobileNetV2 model.
- Fourth step folder - python-flask-upload-display-image Prepare an app.flask to show how the model works by uploading another image.
ALL THE WORK AVAIABLE
https://drive.google.com/drive/folders/1EJXKtaF4a28tlTYEQdVQ73YwfpIpucY_?usp=sharing