Aditya Krishna Sai Pulikonda

Real-Time-Face-Swapping-Tool-using-Deepfake-Algorithm. Implemented a cloud-based real-time face-swapping tool to swap faces in a video. Used CNN auto-encoder based deepfake algorithm and Google Cloud Platform (GCP) based services - Google App Engine (GAE), Google AI Platform for efficient deployment on cloud

Cancer-Detection-using-CNN. Trained a Convolutional Neural Network to classify breast cancer as Malignant or Benign

Deep-Learning-Python-Notebooks. Deep Learning Python Notebooks

CS-for-background-subtraction. Developed a method to directly recover background images from video using Compressive Sensing

BHASH. Successfully defined language constructs and completed the syntax analysis for the language we created. Semantic analysis was done for a fair number of constructs using which we can program.

Question-Answering-Tool-for-CliCR-Dataset. Question Answering tool for CliCR dataset developed using BERT and BioBERT

2-Player-Chess-Game. Developed a fully functionable two-player chess game in Java with the application of OOPs concepts

Machine-Learning. This repository contains all the codes for the Machine Learning Course offered in Autumn 2018.

Real-Time-Object-Detection-using-Cloud-and-Edge-Computing. Developed an application that provides real-time object detection utilizing both cloud (using AWS) and edge (using Raspberry Pi)