bhumikadhingra Goto Github PK

atg_internship

Task 1 was based on web automation and I wrote it's code.

automated-job-resume-matching-solution

According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.

automated-resume-screening-system

Automated Resume Screening System using Machine Learning (With Dataset)

awesome-for-beginners

A list of awesome beginners-friendly projects.

ballgame

Python code for a moving ball on the screen ...

breast-cancer-type

Prediction of the type of breast cancer using k-NN classification and using sklearn breast cancer dataset

c-plus-plus

All Algorithms implemented in C++

datasettss

eye-protection

face_detection

face_finding

I used haar-cascade for detecting front faces in a photograph.

git_first

trying git

gpsautomation

Using pyautoGUI and selenium for computer and web automation. This was made for GPS project and automating its working.

hack-bvp

hackday

ML model code and Interface

hacktoberfest

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

hacktoberfest-1

Hacktoberfest2020

hacktoberfest-2020-fizzbuzz

:jack_o_lantern: Submit creative/abstract FizzBuzz solutions in any language you want!

hacktoberfest101

A repository to help budding developers have their first commit!

hacktoberfest2019

Hacktober Day!

hacktoberfest2020

Use this repository to create PR during Hacktoberfest

hacktoberfest2020-1

Contribute for hacktoberfest 2020

hacktoberfest2020-2

Make your Hacktoberfest 2020 contribution here! Win stickers and a T-shirt on completing 4 pull requests. (Specially for beginners)! :D

hacktoberfest2020-3

Repository for first timers to get started in Open Source Contributions

hacktoberfest2020-4

Submit 4 pull requests to earn swags (Tshirts + badges)

hacktoberfest2020-5

Repository to let enthusiasts create issues and pull requests for the Open Source event

hacktoberfest2020-contributions

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

hacktoberfest2020_

Use this repository to contribute quality code in languages you are comfortable with during the Hacktoberfest event. Do not make this repo act like a source of +1

ijorms

An intelligent resume ranking system based on the job description

imagetotext

This python code converts Image to text based on the pixel values of the image and character density.