1. IOT Connected Smart Lock System:
We use 2 ESP 8266 microcontrollers as webservers controlled via a smartphone app. This project was done as the IOT E4764 course project at Columbia University.

2. Street View Number Recognition:
This project implements a convolutional neural network created to match human accuracy in predicting numbers from street view images of house numbers on Python, Tensorflow.
Project Report

3. CUDA Implementation of Singular Value Decomposition:
This project explores the usage of Jacobi method of eigenvalue-eignevector decomposition and its parallelized implementation on CUDA using PyCuda on Python.
Project Report

4. Breast Cancer Detection using common Machine Learning (Statistical Inference) Methods:
I implemented a variety of common Machine Learning (ML) algorithms like regression and clustering to detect breast cancer using the Wisconsin Breat Cancer dataset on R.
Project Report

5. Leaderless Multi-Agent Flocking:
MATLAB implementation of a Leaderless Multi-Agent System flocking in fixed and switching network for Autonomous Multi-Agent Systems class.
Project Report

6. ICU Mortality using common Machine Learning Methods:
This repository contains the code used to predict multi-hospital ICU mortality within the first 24 hours of admission by Stacking various ML algorithms in R, which helped us achieve a rank in the top 20% of the Kaggle Competition organized by Women in Data Science (WiDS).