prateeksawhney97
Artificial Intelligence Engineer passionate in programming. Experienced in Machine Learning, proficient in Deep Learning & mastering AI by #BUIDL projects.
MAIT, GGSIPU | Stanford University, USNew Delhi, India
Pinned Repositories
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.
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.
Decentralised-Platform-for-Voting-in-Elections-Using-Ethereum
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.
Decentralized-Financial-Technology-for-Fund-Raising
Decentralized Financial Technology for Fund Raising on Ethereum using Blockchain Technology
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.
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.
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%.
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.
Programming-Data-Structures-and-Algorithms-using-Python
Programming Assignments of the NPTEL course in Oct-2018.
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's Repositories
prateeksawhney97/Digit-Recognition-App-JavaFX
Repository for Digit-Recognition Application using Neural Networks and JavaFX.
prateeksawhney97/Machine_Learning
Base repository for 'Introduction to Machine Learning' by 'Andrew Ng' on Coursera.
prateeksawhney97/awesome-campus-expert
🕶 An awesome list of resources for campus experts! 🕶
prateeksawhney97/Module-2-Network-activity
Individual assignments for Campus Advisors
prateeksawhney97/welcome
Welcome to GitHub Campus Experts! 🚩