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Natural language processing (NLP) based web application project that analyze resumes for a hiring company. The main aim of this project is to provide an efficient and objective solution for employers to evaluate candidate resumes based on job requirements, streamlining the hiring process and improving the candidate experience.

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Python Flask Virtual Environment Create

Flask is a web framework that provides libraries to build lightweight web applications in python.

Install Virtual Environment:

  • virtualenv is considered as the virtual python environment builder which is used to create the multiple python virtual environment side by side.

  • At first open Visual Studio Code then use following command to install virtual environment:

    • pip install virtualenv
  • Once it is installed, we can create the new virtual environment into a folder as given below.

    • python -m venv env
  • To activate the corresponding environment, use the following command on the Windows operating system.

    • .\env\Scripts\activate
  • If your pip is not upgraded then upgrade the pip:

    • python -m pip install --upgrade pip
  • Now install the flask by using the following command:

    • pip install flask
  • After installation now create a first Flask application. Create this application outside the env folder.Like- app.py, you can use any types of name. Write the following lines of code to check the application.

from flask import Flask
app = Flask (__name__)

@app.route("/")
def home():
  return "Hello world"
if __name__ == "__main__":
  app.run(debug=True) 
  • For run this code Select Interpreter press Ctrl+Shipt+P. Then select env interpreter. Like this type- Python 3.10.10('env':venv).\env\Script\python.exe
  • Let's run this python code using this command:
    • python -m flask run
  • To show this output on web browser ctrl+click the following lines in your terminal: Running on http://127.0.0.1:5000

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Natural language processing (NLP) based web application project that analyze resumes for a hiring company. The main aim of this project is to provide an efficient and objective solution for employers to evaluate candidate resumes based on job requirements, streamlining the hiring process and improving the candidate experience.

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