The project aims to develop a prototype of a platform which can help streamline and scale up thehiring process by automating the steps of recruitment that involve accepting applications,gathering data and insights into the candidate pool, comparing candidates, ranking andshortlisting all applicants. Such a platform could prove to be useful in carrying out large scalerecruitment campaigns by narrowing down the candidate pool for any specific job posting.
Project Demo Video: Introducing - Project Darwin | By Team Blueprint
Software | Version |
---|---|
Adobe XD | 24.0.22 |
Zeplin | 4.0.2 |
Python 3 | 3.7.1 |
Twitter API | 7.0 |
IBM Watson | 2.0 |
IBM Watson's Personality Insights | Service Update 12-12-2019 |
IBM DB2 | 11.5 |
IBM Cloud Object Storage | 2.0 |
Name | Lowest Version Tested With |
---|---|
Google Chrome | 83.0.4103.116 |
Microsoft Chromium Edge | 84.0.522.35 |
Name | Lowest Version Tested With |
---|---|
Safari | 13.1.1 |
Google Chrome | 83.0.4103 |
Name | Last Version Tested With |
---|---|
Python | 3.7.1 |
Pandas | 0.25.1 |
Flask | 1.1.1 |
Flask-CORS | 3.0.8 |
IBM-COS-SDK | 2.6.3 |
IBM-DB | 3.0.2 |
IBM-Watson | 4.5.0 |
Python-Dotenv | 0.13.0 |
Tweepy | 3.8.0 |
git clone https://github.com/mihirs16/Project-Darwin
pip install requirements.txt
.env
. Add all API Keys inside this file as text. Click here to know more about hidden API Keys as Environment Variables.EXAMPLE_API_KEY=examplekeyvalue123
k3y5.py
, as imported environment variables.app.py
python app.py
:{port-number}
as specified by the Flask's development server)Aforementioned Project Darwin is still an experimental prototype. However instances fit for specific use cases can be spawned and developed for your use. In order to contact us for such an endeavor please check out the contributors for this project.
PROJECT 04-01 [Multiple Uses] Two-Dimensional Fast FourierTransform The purpose of this project is to develop a 2-D FFTprogram "package" that will be used in several other projects thatfollow. Your im
import pandas as pd c1=pd.read_excel('C:/Users/50502/Desktop/Python项目/02-百货商场data/data/cumcm2018c1.xlsx') c2=pd.read_csv('C:/Users/50502/Desktop/Python项目/02-百货商场data/data/cumcm2018c2.csv') D:\Anacond
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<?xml version="1.0" encoding="UTF-8"?> <projectDescription> <name>leGame</name> <comment></comment> <projects> <project>libcocos2dx</project> </projects> <buildSpec> <buildCommand> <name>com.android.i
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