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action-classification-using-rnn

Using Recurrent neural networks (RNNs) to classify human actions.

action-recognition-with-cnn

Training a CNN using 3D convolution to classify each clip as a video into action classes.

auto-scaling-of-application-servers

This project demonstrates the automatic spawning of an application server (Upscaling) in cases of consistent heavy server load (eg: Heavy load on Amazon servers during festives seasons and flash sale)

binary-segmentation

An interactive semi-automatic binary segmentation model. Implemented in OpenCV 3.3.0 and Python 2.7

driverdrowsiness_detection

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

drowsydriverdetection

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

face-detection-and-tracking

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

gan

Using Generative Adversarial Networks (GAN) to generate MNIST image data.

golombruler

This project implements Constraint Satisfaction Problem (CSPs). Plain Backtracking, Backtracking + Forward Checking are used to solve CSPs.

gsoc18

Google Summer of Code'18. Open Food Facts : Brands/Label Detection.

histograms-filters-and-blending

Implementing histogram equalization, low-pass and high-pass filter, and laplacian blending of images.

image-alignment-and-panoramas

Stitching different perspective images into a single smooth panorama using Laplacian Blending.

iotbasedsmarthomes

This project is a seminar on "IOT based user-centric ecosystem for heterogeneous smart home environments".

lasso-regression

LASSO (Least Absolute Shrinkage Selector Operator) is Linear Regression with L1 Regularization.

machinelearning

Andrew Ng's Machine Learning course assignments and mini-projects

multiagentpacman

Mini-max, Alpha-Beta pruning, Expectimax techniques are used to implement multi-agent pacman adversarial search.

nlp

A collection of Natural Language Processing projects

question-answering-qanet

resume

Resume

searchingpacman

A project that applies several Artificial Intelligence techniques such as informed state space search, reinforcement learning and probabilistic inference. Algorithms such as Depth First Search, Breadth First Search, Uniform Cost Search, A-star Search enabled the pacman to win in different game versions

support-vector-machine

An implementation of MultiClass Support Vector Machine from scratch using Stochastic Gradient Descent and Quadratic Programming. Used this for Object Detection.