Automated-Resume-Screening-System:使用机器学习的自动简历筛选系统（带有数据集）

# Automated Resume Screening System (With Dataset) A web app to help employers by analysing resumes and CVs, surfacing candidates that best match the position and filtering out those who don't. ## Description Used recommendation engine techniques such as Collaborative , Content-Based filtering for fuzzy matching job description with multiple resumes. ## Prerequisites # Software * textract==1.6.3 * requests==2.22.0 * Flask==1.1.1 * gensim==3.8.0 * sklearn==0.0 * PyPDF2==1.26.0 * autocorrect==0.4.4 * nltk==3.4.5 * contractions==0.0.21 * textsearch==0.0.17 * inflect==2.1.0 * numpy==1.17.2 * pdfminer.six==20181108 * Python 3.6.0 |Anaconda 4.3.0 (64-bit)| # Dataset * Link1 : https://s3.ap-south-1.amazonaws.com/codebyte-bucket/Resume%26Job_Descriptions.zip * Mirror : https://drive.google.com/open?id=17M9oDPip5JFFFNJhDCBQKy8BMqoyxajU ## Running localhost * Run `pip install -r requirements.txt` to install dependencies * Simply run this command from root directory. * Login Username :admin Password : whitetigers2018 ``` python app.py ``` ## Running using Docker * Create the docker image running: `docker build -t arss .` * Run the container: `docker run -it -p 5000:5000 arss` ## Author # @CodeByte