Ravi M Damor (@ravithemore)
  • Stars
    star
    35
  • Global Rank 438,984 (Top 16 %)
  • Followers 93
  • Following 22
  • Registered over 3 years ago
  • Most used languages
    JavaScript
    40.0 %
    Python
    30.0 %
    Java
    10.0 %
    HTML
    10.0 %
  • Location 🇮🇳 India
  • Country Total Rank 16,069

Top repositories

1

Sapphire-Plugin-Crack

255
star
2

Coursera-Html-Css-and-Javascript-for-Web-Developers-Solutions-

This repository contains all the Assignments, Codes, CSS and JavaScripts files for the Course on Coursera for HTML CSS AND JAVASCRIPT FOR WEB DEVELOPMENT.
JavaScript
6
star
3

ravithemore

Hello pep's Welcome to my profile repo. You can also build yours with my profile. Don't just star it, fork it too.
3
star
4

Lets-learn-Git

Learning git
Java
2
star
5

Chat-Bot

Python
2
star
6

Awesome-Twitter-Threads

Awesome Twitter threads by Various Twitter Content Creators on Web Development, Freelancing, Investments, Progarmming, Tech, Devops and Guidance.
2
star
7

Python-ChatBot

This repository consists of the code samples of Chat bot which is coded in Python . It is a simple Chat bot with very Few Instructions, and some python libraries included.
Python
2
star
8

covid19-tracker

JavaScript
1
star
9

ninja.py

Python
1
star
10

Linkedin_Scraper_2022

LinkedIn scraping usually comes in as the second step of a lead generation strategy. Not only can you automate the profile scraping itself, but you can also automate the process of finding the right profiles to scrape data from.
1
star
11

Covid-19-Tracker

It's a Simple Covid-19 Tracker which tracks the number of cases and recovery data from the mentioned API from all over the world is displayed on our site using react HTML, CSS , JAVASCRIPT and REACT-JS.
JavaScript
1
star
12

website

HTML
1
star
13

CTS-PRODIGY

1
star
14

face-mask-detection-react

Created with CodeSandbox
JavaScript
1
star
15

Software-Developer-salary-prediction

It's an Application which predicts the salary of a software engineers based on the data from stackoverflow . It is trained to predict it from the data using Machine Learning. It's App is designed using python with simple and basic gui.
Jupyter Notebook
1
star