Food scarcity in developing and underdeveloped nations has been increasing day by day and as per statistics provided by FAO, nearly 30% amount of food wastage globally and this ultimately leads to starvation.

Basically, we developed an application with two features:

  1. Garbage Classification
  2. Food Wastage Solution

We built the frontend part using the react-native framework and backend logic is developed in python using the flask framework. The object detection part is done using google cloud vision API.

1 . Trying to train the models takes a lot of time and choosing the appropriate hyperparameter for the same.

  1. Communicating frontend application with the servers and data transfer .
  2. Handling external API response.

  3. We were able to produce a full product working demo.

  4. Integration of lots of modules in very less amount of time.

  5. These two days were really good and learning from the google vision API .

  6. Training the models using CNN on images.

  7. Understanding different technologies in a very small period.

It can be a good end product that can include many categories and more information about the food wastage . The next step would be the OCR integration in the product which can scan the expiry date and notify user when it is going to expire.

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