Worked as a part of the Edge ML group on Keyword Detection on small scale devices where we developed a phoneme detection framework to convert speech to phonemes. We built a classifier on top of the phoneme detector to detect the keywords.Mentors: Harsha Vardhan Simhadri, Prateek Jain

Working on Developing Deep Reinforcement Learning Algorithms for Planning problems of variable sized Graphs.

Teaching Assistant for the course of ELP212:(Electromagnetism Lab)

Worked on integrating the temporal knowledge graphs and time series attributes. Designed a new Neural Network Framework to predict future graphs and attributes. I was selected as a part of the IUSSTF-Viterbi Scholarship 2019.

Working on Developing Deep Learning Algorithm for Fall Detection in the elderly people using acceleration signal from an accelerometer attached to the body. Supervised by Prof Deepak Joshi.

I have worked on Explainable AI for Food Recommendation Systems under Prof Brian Lim, NUS, and implemented a Natural Language Conversation System capable of answering questions in the form of a dialog. I have implemented a Deep Ingredient Classifier capable of predicting food categories and ingredients in the given food image. The project aimed to develop a system capable of explaining the food recommendation provided by dieting apps and adapt to user needs.