NeuralCook — Image2Ingredients and Cooking Recommendation
Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients.
This application leverages NLP and Computer Vision to learn semantic knowledge using joint embeddings.
We built web application and consumable REST APIs for users to integrate them into their applications, evaluate and capture feedback.
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Sumith Reddi Baddam
Data Scientist @ Cisco Systems | Pursuing Master's in Data Science - Indiana University Bloomington
Data Science Graduate Student at Indiana University Bloomington
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Generating cooking recipes using TensorFlow and LSTM RNN
This article contains details of how the recipes generation LSTM model was trained on Python using TensorFlow 2 with Keras API.
A powerful web and mobile application that identifies food dishes from a given input image, and provides an ingredient list along with relevant recipes.
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