Machine Learning

Building deep Learning-based classifiers for the task of 'Emotion Classification' using Pytorch classifiers for Emotion. • Used CNN Lstm VGG16 Pre-trained model and Attention form Paper "Attention is all you need". • Multi-modal classifiers for disaster tweet classification using tweet text and image. • Experiments for Multi-lingual Multimodality for emotion classification and predicting Intensity score. • Evaluating all results using precision-recall and F1-score cosine-similarity and Pearsons correlation coefficient Artificially generate realistic labelled dataset | SWAAYATT ROBOTS 16th May 2018 - 10th July 2018 • Solved the problem of Night Vision using Multimodel Unsupervised Image to Image translation. • Implemented GANs and Autoencoder for style transfer to artificially generate realistic labelled datasets. • Generated Inverse Perspective Mapping software(C++) using USB cameras. Projects Road Accident analysis and Safety measures. | IIT Roorkee Feb-2019 March-2019 • Analyzing accident data and coming up