Recently finished an internship at IIT Bombay as a Machine Learning Intern. Where I contribute in experimentation and development of deep learning models for real world applications.
I worked on Generative Adversarial Networks for fashion inspiration, in which I successfully generated images of women's t-shirts, which can be used as fashion design inspiration. Apart from this, as part of my design project I trained a model which can classify face landmarks using Convolutional Neural Networks.
I used Pytorch and Python to train a neural network for classification of apparel that people in an input image are wearing. This was done to measure the influence of fashion bloggers on Instagram, using a similarity measure between users and their followers, by noticing the similarities in apparel.
I studied structural and algorithmic properties of Max chordality-4 and Max degree-3 graphs, for which I also found polynomial time algorithms for classical problems like vertex cover and steiner trees.
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