Predicted the demand (market size) for the new apparel launched in the market using Light GBM ensemble modelling in python and deployed in production using docker container.

Identifythe similar product from the existing product database and using their sales profile to attach with new product for DC to Store allocation

Similar product identified by context matching (word2vec) and image matching (cnn)

Fashion apparel images have classified into Upper wear, bottom wear, full wear clothes along with identification of shoes.

Convolution neural network is build on the top of VGG16 and used transfer learning concept to build the neural network model.

Identify and categories the aspects from the customer reviews posted on the social media sites along with the sentiment analysis.