nitinshaily Goto Github PK

10-projects-10-hours

awesome-resources

:sunglasses: List of helpful resources added by the community for the community!

bg-color-changer

A javascript application that changes the background color of the webpage to random color on click or user can specify a color of their choice.

cec-practice_problems

codingproblemsolution

Repo where I store the solution of all the programming exercises I do.

colloquium

This is for MCA final semester. VSICS

covid-data-visualisation

credit_risk_mlmodel

Basic ML model on dicision tree classifier to predict whether a loan should be given or not.

demo-face-gan

A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.

digitrecogniser_mlmodel

famous dataset

face_recogniser

face recogniser using har casscading

generator

A React Js Microfrontend Generator CLI which helps us to generate starter microfrontend project with customized information and initial files as a container, microfrontend or static one, Contribution is welcome.

grip-the_sparks_foundation

repo to save tasks of internship

hacktoberfest

Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest

hacktoberfest2021

This repository is created for the educational purpose and making students aware of open source contributions.

hactoberfest21

hello-world

motor_collision_visualizer

Web-App to visualise motor collision data of New York CIty

movie-app

A Web App to visualize the top-rated movies.

msk-javascript-bootcamp

6.5 hours of video session covering javascript concepts.

open-source-projects

This repository has been created as a medium for developers to participate in the Hactoberfest 2021 event. You can sign up anytime between October 1 and October 31. Just be sure to sign up on the official Hacktoberfest website for your pull requests to count.

orange-fruit-recognition-using-image-segmentation

For the recognition of orange fruit, using edge detection and color detection method. And for this methodology, I used image segmentation. Input images are of the oranges which were captured at different lighting condition and used image segmentation to detect the color of the image. Implementation is done in Python. In this system, the user will input an image of an orange. The model will convert the image from RGB to a grayscale image for further processing.

sketch_board

A drawing canvas for quick sketches

todo-app

Basic app to add your day-to-day item to a list.

wine_quality_checker

ML model to check the quality of wine