Smart Resume Analyser App

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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