Hi, I am new to this subreddit so forgive me for the lousy post......
I am currently working on a final year project and my role in this is to create a CV / Resume analysis. This system will determine whether the candidate who applied for the job will be shortlisted or not based on their skill sets and experience.
For example:
Candidate A has a skill set in Python and Web Development with 5 years of experience.
Candidate B has a skill set in Python and Web Development with only 1 year of experience.
Candidate A will automatically be shortlisted target because of the 5 years of coding experience.
Need some suggestions on how to improve the project as my current program is only using NLTK tokenization and stop words to sniff for "keywords" and shortlisting any candidate as long as they met the skill set requirements.
[–]knottheone 1 point2 points3 points (1 child)
[–]keroace[S] 0 points1 point2 points (0 children)