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smart_resume_analyser_app's Introduction

Smart Resume Analyser App

forthebadge made-with-python
Python 3.6

Watch Tutorial for this project

Get the project Report, PPT, and Diagrams

Source

  • Extracting user's information from the Resume, I used PyResparser
  • Extracting Resume PDF into Text, I used PDFMiner.

Features

  • User's & Admin Section
  • Resume Score
  • Career Recommendations
  • Resume writing Tips suggestions
  • Courses Recommendations
  • Skills Recommendations
  • Youtube video recommendations

Usage

  • Clone my repository.
  • Open CMD in working directory.
  • Run following command. 
    pip install -r requirements.txt
  • App.py is the main Python file of Streamlit Web-Application.
  • Courses.py is the Python file that contains courses and youtube video links.
  • Download XAMP or any other control panel, and turn on the Apache & SQL service.
  • To run app, write following command in CMD. or use any IDE. 
    streamlit run App.py
  • Uploaded_Resumes folder is contaning the user's uploaded resumes.
  • Classifier.py is the main file which is containing a KNN Algorithm.
  • For more explanation of this project see the tutorial on Machine Learning Hub YouTube channel.
  • Admin side credentials is machine_learning_hub and password is mlhub123.

Screenshots

User side

Admin Side

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smart_resume_analyser_app's People

Contributors

spidy20 avatar

Forkers

kj-999

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