Smart_Resume_Analyser

Check out the live demo: https://www.youtube.com/watch?v=3oNHNVa-kWE

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

• main.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.

• Admin side credentials is naman_jain and password is naman@123.

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