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 ismlhub123
.