yashwant43 Goto Github PK
Name: yashwant sai kishore
Type: User
Bio: Data Science professional skilled in Predictive Analytics, Data Visualization, NLP and RPA
Location: Atlanta, Georgia
Name: yashwant sai kishore
Type: User
Bio: Data Science professional skilled in Predictive Analytics, Data Visualization, NLP and RPA
Location: Atlanta, Georgia
Automatic License Plate Recognition
ALPR system that detects cars from a video and Extracts the number plate
Big Data Processing with Hadoop/Spark
Course Files for Complete Python 3 Bootcamp Course on Udemy
Customer Churn using ML models
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass
ANPR using CNN
Build Generative AI applications with Langchain on AWS
This project using yolo3 to detection license plate in street
License Plate Recognition on Video Streaming
Extracts required filed from Mortgage document - Closure Disclosure
GSU-MSA8150 Machine Learning Course
This is My first Project
Open Weather data Engineering Pipiline
Diving into PyImageSearch
Real time licence plate recognition system
RPA + MS SQL Server+ MS Excel + Power BI project
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Dagster and dbt assets for the fancy data stack project.
The project developed using TensorFlow to recognize the License Plate from a car and to detect the charcters from it.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.