Jay Patil's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Using deep learning and computer vision(pytorch) to detect accidents on dashcam and report it to nearby emergency services with valid accident images
This data-set includes 10480 images including three folders namely Accident βDetection, Vehicles-in-Accidents and Accident-Severity. The number of classes are 2,3 and 3 for the these folders.
An accurate traffic accident predictor can potentially save lives. I hereby described the creation and deployment of such a model using scikit-learn, Google Maps API, Flask and PythonAnywhere.
Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and the day of the week.
This repo consists of aditya verma youtube channel code for different section.
Aircraft Seats Booker
This repository contains best profile readme's for your reference.
############### Our Blackjack House Rules ##################### ## The deck is unlimited in size. ## There are no jokers. ## The Jack/Queen/King all count as 10. ## The the Ace can count as 11 or 1. ## Use the following list as the deck of cards: ## cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10] ## The cards in the list have equal probability of being drawn. ## Cards are not removed from the deck as they are drawn.
Decentralized Application to verify the authenticity of Academic Certificates
Generation and validation of certificates using ethereum blockchain
BlockVote is a blockchain based election system which lets voters elect candidate in an election.
Automatic detection and alert of vehicle accidents
cs359b-peony-blockchain-certificate created by GitHub Classroom
This Repo consists of Data structures and Algorithms
This is a Django based Ecommerce website
Idea is to propose a method that takes into account the grammatical structure of the sentence to predict hatefulness.
Video surveillance is being used nowadays in most public places such as schools, colleges, shops, libraries, parks, metro stations, hospitals and on roads to monitor traffic flow. With this increase in footage gathered by the cameras, there is a need to develop a process or method in order to make sense of the activity or action being performed in the videos.