riyamehta56's Stars
prateeksawhney97/Self-Driving-Car
Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track
prateeksawhney97/Behavioral-Cloning-Project-P4
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.
prateeksawhney97/People-Counter-Application-Using-Intel-OpenVINO-Toolkit
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.
prateeksawhney97/Dog-Breed-Classification-Project-Using-Flask
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%.
prateeksawhney97/Detecting-Lane-Lines-P1
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.
prateeksawhney97/Advanced-Lane-Finding-P2
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.
prateeksawhney97/Disaster-Response-Pipeline
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.
prateeksawhney97/Programming-Data-Structures-and-Algorithms-using-Python
Programming Assignments of the NPTEL course in Oct-2018.
prateeksawhney97/Plagiarism-Detector-Using-SageMaker
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.
prateeksawhney97/Recommendations-With-IBM-Project
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.
prateeksawhney97/Road-Lane-Finding-Application-Using-Flask
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.
prateeksawhney97/Traffic-Sign-Classifier-Project-P3
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.
prateeksawhney97/Flask-Application-for-Spam-vs-Non-Spam-Classification
Deploying Flask app to Google Cloud Platform using App Engine for classifying Spam Messages
UMANG-GAKHAR/Challenges-Bitmasking
prateeksawhney97/Goa-Monument-Prediction
Deep Learning Model for classifying Monuments in Goa Using Keras
prateeksawhney97/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
prateeksawhney97/Programming-Data-Structures-and-Algorithms-Using-C
Programming Assignment Solutions for the Nptel Course 2018.
UMANG-GAKHAR/Hackerblocks-DCB-Problems
prateeksawhney97/Decentralized-Twitter-dApp
Decentralized Twitter Application using Embark