Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking

Udacity self driving car engineer integration project: focus on building ROS nodes to implement core functionality of the autonomous vehicle system, including traffic light detection, control, and …

Using a Convolutional Neural Network for Traffic Sign Recognition

Detecting Vehicles in a stream of images coming from a front-facing camera on a car.

Detect facial keypoints in images

Test Prediction using Recurrent Neural Network

Machine Learning Exercises from Andrew Ng's Course

American Sign Language Recognizer using Hidden Markov Models HMM

planning algorithms

Scripts from Georgia Teach Graduate Physics Dept Course

MediScan is an application which uses Augmented Reality and a strong recommendation system to suggest whether a medicine is applicable for the given ailment. The App aims to reduce the prevalent pr…

A python script to detect barcodes in a video stream using OpenCV

Classifiy data as mailgnant or benign using variety of machine learning algorithms.

This project uses unsupervised learning techniques and decomposition methods to find meaningful structure in the data.

In this project, I used supervised machine learning techniques to find the people most likely to donate for a charity.

Used machine learning techniques to predict the prices of houses in the Boston housing market dataset.

Smartcab is a project which utilizes Reinforcement learning techniques to implement a self driving agent in a simplified world. It uses Q-learning algorithm to guide the agent while tackling the en…

Detects cats in a video stream using Haar Cascades

This project uses a neural network to analyze the sentiment of a review on IMDB

This project uses a neural network to classify hand written digits

Face recognition using Local Binary Patterns Histograms from OpenCV

Scans the image and detects documents(if any) then scans the image.

SwapCV is a python script to swap faces from a specified image in a live video using OpenCV and dlib.