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Recognition of food image and suggest restaurants in the proximity

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ag6288/Food-Recognition-Application

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Food-Recognition-Application

Project Overview:

  • User can upload an image of food item.
  • Image recognition is done in background and food item is recognized.
  • User location is obtained and based on it, restaurants are recommended with the particular food item.
  • AWS services used are EC2, S3, Lambda, API Gateway, RDS and Cognito.
  • EatStreet API is used to access the restaurant menu.

Implementation:

  • Authentication and registration of the user.
  • Image is uploaded to S3 which invokes the Lambda function through API Gateway.
  • Tensor flow model is deployed on an EC2 instance and Lambda function is used to communicate with the model and recognise the image.
  • Using the result of the model, restaurant details are fetched by searching for the menu item in RDS.

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Recognition of food image and suggest restaurants in the proximity

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