README.md

# 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)
<img src="https://github.com/Spidy20/Smart_Resume_Analyser_App/blob/master/yt_thumb.jpg">

## [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
<img src="https://github.com/Spidy20/Smart_Resume_Analyser_App/blob/master/sc1.png">

## Admin Side
<img src="https://github.com/Spidy20/Smart_Resume_Analyser_App/blob/master/sc2.png">


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