https://github.com/spidy20/smart_resume_analyser_app

This is web application for the Resume Analyser.
https://github.com/spidy20/smart_resume_analyser_app

cv-parser resume-analyser resume-analysis streamlit

Last synced: 6 days ago
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This is web application for the Resume Analyser.

• Host: GitHub
• URL: https://github.com/spidy20/smart_resume_analyser_app
• Owner: Spidy20
• Created: 2022-03-06T03:37:19.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2023-07-30T07:05:35.000Z (over 1 year ago)
• Last Synced: 2025-01-15T16:43:20.186Z (13 days ago)
• Topics: cv-parser, resume-analyser, resume-analysis, streamlit
• Language: Python
• Homepage:
• Size: 3.93 MB
• Stars: 171
• Watchers: 4
• Forks: 131
• Open Issues: 12
• Metadata Files:
  • Readme: README.md

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README

        
# Smart Resume Analyser App

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 

[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

## [Watch Tutorial for this project](https://youtu.be/hqu5EYMLCUw)



## [Get the project Report, PPT, and Diagrams](https://kushalbhavsar1820.stores.instamojo.com/product/864991/smart-resume-analyzer-ppt-report-and-diagram-c091f/)

## Source

- Extracting user's information from the Resume, I used [PyResparser](https://omkarpathak.in/pyresparser/)

- Extracting Resume PDF into Text, I used [PDFMiner](https://pypi.org/project/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



## Just follow☝️ me and Star⭐ my repository 

# [Buy me a Coffee☕](https://www.buymeacoffee.com/spidy20)

## [Donate me on PayPal(It will inspire me to do more projects)](https://www.paypal.me/spidy1820)