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Behavioral Cloning Project for Self-Driving Car Nano Degree Term 1. The project includes designing a neural network and then training the car on the road in unity simulator. The CNN learns and clones the driving behavior.

Behavioral-Cloning-Project-P4

The people counter application demonstrates how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count. This project is a part of Intel Edge AI for IOT Developers Nanodegree program by udacity.

People-Counter-Application-Using-Intel-OpenVINO-Toolkit

Dog Breed classifier project of the Data Scientist Nanodegree by Udacity. A Web Application is developed using Flask through which a user can check if an uploaded image is that of a dog or human. Also, if the uploaded image is that of a human, the algorithm tells the user what dog breed the human resembles the most. The Deep Learning model distinguishes between the 133 classes of dogs with an accuracy of over 82.89%.

Dog-Breed-Classification-Project-Using-Flask

Lane Finding Project for Self-Driving Car Nano Degree Term 1. Road Lane Lines are detected by using various image processing techniques like Grayscale, Blurring, Canny Edge Detection, Hough Transform and Masking.

Detecting-Lane-Lines-P1

Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center.

Advanced-Lane-Finding-P2

The solution is to build a Decentralised application on Blockchain using Ethereum to eliminate the problem of Fake Votes, so that the voting system becomes transparent and unbiased. This is possible by Blockchain where we can keep the vote counts and other electoral data protected. The application would consist of a list of eligible candidates for election and we, as a voter, using our unique account having a unique private key, can cast a single vote to the candidate. This would require some ether, but the "Fake Votes" problem can be eliminated.

Decentralised-Platform-for-Voting-in-Elections-Using-Ethereum

This Project is a part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The initial dataset contains pre-labelled tweet and messages from real-life disasters. The aim of this project is to build a Natural Language Processing tool that categorize messages.

Disaster-Response-Pipeline

Decentralized Financial Technology for Fund Raising on Ethereum using Blockchain Technology

Decentralized-Financial-Technology-for-Fund-Raising

This project is a part of the Data Scientist Nanodegree by Udacity. It features an important collaboration with IBM, the provider of the dataset. The aim is to develop a recommendation engine and suggest new articles to the IBM Watson Community users.

Recommendations-With-IBM-Project

A Flask Application deployed over Google Cloud Platfrom to perform Advanced Lane Detection on Road Images which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines.

Road-Lane-Finding-Application-Using-Flask

Second project of the Udacity Machine Learning Engineer Nanodegree program where a Plagiarism Detector is created using custom similarity features amongst source and answer file such as containment and longest common subsequence. Further, trained and deployed the model on Amazon Sagemaker.

Plagiarism-Detector-Using-SageMaker

German Traffic Sign Classification Project for Self-Driving Car Nano Degree Term 1. A CNN is designed and trained to detect the traffic signs using the German Traffic Sign Dataset. The system is also tested on German traffic signs to measure its performance.

Traffic-Sign-Classifier-Project-P3

Repository for Digit-Recognition Application using Neural Networks and JavaFX.

Digit-Recognition-App-JavaFX

Java

Flask-Application-for-Spam-vs-Non-Spam-Classification

Deploying Flask app to Google Cloud Platform using App Engine for classifying Spam Messages

Deep Learning Model for classifying Monuments in Goa Using Keras

Goa-Monument-Prediction

Personal Portfolio website version 2.0 hosted on GitHub.

prateeksawhney97.github.io

Video Browser App using Youtube API to search, play and list videos using React.

Youtube-Video-Browser-Using-React

Motion-Planning-And-Decision-Making-for-Autonomous-Vehicles

C++

Sudoko-Game-Backtracking

Sudoku solver webapp!

Photo Editor web application hosted on GitHub Pages. Developed using 3D arrays and JavaScript.

Photo-Editor-Web-Application-Using-3D-Arrays

The project includes Lidar and Radar data fusion. The radar measurement space being a non linear function requires linearization to apply Kalman Filter. This is done using Taylor series and Jacobian matrices in an Extended Kalman Filter approach.

Extended-Kalman-Filter-Project-P5

C++

Deploying-a-Sentiment-Analysis-Model-on-Amazon-Sagemaker

Deploying a Sentiment Analysis Model on Amazon Sagemaker which consists of deploying a Sentiment Analysis model using Recurrent Neural Networks in the Amazon AWS SageMaker tool. The notebook and Python files provided here result in a simple web application which interacts with a deployed recurrent neural network performing sentiment analysis on movie reviews. In the final architecture AWS API Gateway and AWS Lambda functions is used as well.

Implemented Sliding Windows and Fit a Polynomial on the warped Image

Finding-Lane-Lines-Using-Sliding-Window

Logistic Regression Classifier to Recognize Cats.

cat-vs-noncat-classification-logistic

Implementation using only LASER (LIDAR) measurements to predict a pedestrian

Kalman-Filter-for-tracking-a-pedestrian-in-2D

C++

Flask-Application-for-Goa-Monuments-Prediction

A Flask Application deployed on Google Cloud Platform which uses Deep Learning Model for classifying Monuments in Goa Using Keras

Could be taken up by any BloodBank Organization.

JavaFx-BloodBank

Java

Spin-And-Win-Game-JavaScript

A Simple Spin & Win Game Using Phasor and JavaScript!

Programming Assignment Solutions for the Nptel Course 2018.

Programming-Data-Structures-and-Algorithms-Using-C

MNIST-Classification-Multinomial-vs-Gaussian-Naive-Bayes

Classification using Multinomial and Gaussian Naive Bayes

Implementing the LeNet-5 neural network architecture to classify MNIST Digits

LeNet-5-Convolutional-Neural-Networks

Creating a decentralised system of banking for fund raising, on Ethereum using blockchain technology.

Decentralised-System-of-Banking

Detecting Cars on the road using Template Matching

Object-Detection-using-Template-Matching

Drawing corners in an image of a chessboard pattern.

Finding-Corners-Using-OpenCV

Ethereum Smart Contract that Models a Lottery.

prateeksawhney97

Lottery-Smart-Contract-Ethereum

Decentralized Twitter Application using Embark

Decentralized-Twitter-dApp

CSS

Camera-Calibration

Camera Calibration and Distortion Correction

Responsive Web Design Projects - Personal Portfolio | FreeCodeCamp

Personal-Portfolio-FreeCodeCamp

CSS

Perspective-Transform-on-Camera-Images

Undistort and Transform Perspective

A simple calculator using JavaScript, HTML5 and CSS3

Calculator-using-HTML-CSS-and-JavaScript

CSS

Canny-Edge-Detection-Lane-Lines

Detecting Lane lines by Canny Edge Detection

Responsive Web Design Projects -A Survey Form | FreeCodeCamp

DPS-Vertex-AI-Missions

DPS AI

Survey-Form-FreeCodeCamp-Project

Repository for Behavioral Cloning Project of Udacity Self Driving Car Engineer Nanodegree on Track 2

Behavioral-Cloning-Hill-Side-Track-2

Navigation for Blind People using Object Detection

DPS-Navigation-for-Blind-People

Machine_Learning

Base repository for 'Introduction to Machine Learning' by 'Andrew Ng' on Coursera.

MATLAB

MyBlog-App

The blog app made through the IMAD Mobile Application Development Module.

Java

Chuk-Norris-Jokes-application-using-Flask

A simple web application demonstrating the use of Data Acquisition using web API's in Flask. Extracted jokes from the Chuk Norris Database API i.e. http://api.icndb.com/jokes/{}. Given a specific joke 'ID', the web application returns the joke for the corresponding joke ID.

A Snake Game hosted on GitHub Pages based on OOPS, Data Structures and JavaScript.

Snake-Game-OOPs-JavaScript