I'm currently an Undergrad at TKM College of Engineering. I was a Deep Learning Intern at Neuroplex last summer and I am a Millennium Fellow and Campus Director for my cohort, which is the only cohort selected from India and one among the three cohorts in Asia.
As a robotics enthusiast, I'm constantly trying to develop something that is going to benefit the humanity. My specialization is MAVs(Micro Aerial Vehicles) and my current intention is to develop a swarm architechture which is agile and aggressive than the already existing swarming techniques.
When I'm not in front of a computer screen, I'm probably travelling, riding or crossing off another item on my bucket list.
A complex computer vision model based on darknet to analyze live footage of traffic surveillance cameras and identify traffics violations such as not wearing a helmet, not wearing seatbelt.
Developed, trained and tested a deep reinforcement learning model to play Flappy Bird on its own.
Trained and tested a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images.
Modified and trained an existing model of YOLOv3 model bound on Keras to do custom object detection for use in aerial surveillance drones.
Tink is a chatbot developed on Azure platform for a treasure hunt conducted by IEEE SB powered by Azure Cognitive Text API.
Used a DCGAN (Deep Convolutional Generative Adversarial Networks) on the CelebA dataset to generate images of novel and realistic human faces.
Simple image classifier using Tensorflow with CIFAR-10 dataset.