I am a curious and visionary Deep Learning Researcher, currently working with the Generative Adversarial Networks, a fast and quiet emerging deep learning field. I am also well equipped with Algorithms and Data Structure's knowledge in addition to that I also have good experience with web development. My active participation in Hackathons adds on to my profile.
Open for all kind of Research and SDE Internship roles.
We all have that single problem while a online confrence , the background noise which degrades your experience of the confrence.This project filters a noisy sound to a denoised sound where only speakers voice is heard, as of now this is in building stage and not realtime.
It uses a Generative model to filter the noisy input audio.For training this model we have used a AeGAN(Acoustic Enhanancement GAN) which was inspired form a research paper.
Upcoming Project
This project uses Generative Adversarial Networks a newly emerging field in Deep Learning.This project converts a Satellite image to Map image. Pix2Pix GAN is used in the project, this can be considered as a Supervised Learning method as it is a Paired Image to Image translation which is trained on a dataset of satellite images and target map images.
A basic Tic-Tac-Toe game using JavaScript ,built for playing against Computer as well as Friends.Computer use Minimax algorithm for playing which chooses best move for the computer to play.Minimax algorithm is a two player algorithm which finds a best move against any of the opponent's.Alpha-Beta Pruning is also used for optimizing the Minimax Algorithm.
An all-in-one Educational platform webapp which won my team the 1'st position in Smart India Hackathon 2020.Main features of this app are Questions generation from text provided ,text to summary and Language translation .
