Recipe Recognition With Deep Learning
The project aims to build a web application that recognizes food items using CNN which in turn identifies the recipe of the recognized food item.
10 Hrs. | Intermediate
INR 0
This Course Includes:
- 30 Days Access to Workspace
- Dedicated Mentor Support
- Project Resources & References
- Project Completion Certificate
Skills you will develop
- Python
- Python Web Frame works
- CNN
- Flask integration
- Numpy
- Tensorflow
- Keras
- Deep Learning
Project Description
Food is an essential component of our individual and social life. Eating habits have a direct impact on our health and wellbeing, while ingredients, flavour and cooking recipes shape specific cuisines that are part of our personal and collective cultural identities. But there are also interesting applications of automatic food recognition to self-service restaurants and dining halls. For instance, accurate detection and segmentation of the different food items in a food tray can be used for monitoring food intake and nutritional information, and automatic billing to avoid the cashier bottleneck in self-service restaurants. This work deals with the problem of automated recognition of a photographed cooking dish and the subsequent output of the appropriate recipe.
In this project, we focus on applications of automatic food recognition and identify the recipe in food by using convolutional neural networks. And this model will classify images into food categories and to output a matching recipe.
Architecture:
