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This project is developed as part of Hackathon-2017. The main aim of this use-case is to classify Food i.e Junk or Health using Machine Learning Tools. Also need to predict calories of food and score of Food based on user reviews.
Using Convolutional Neural Network and transfer learning to create an accurate classification model of Invasive Ductal Carcinoma in Histology Images. Then deploying this model into a simple front end.