NB
All Work03 / 03
2024PythonStreamlitNLPTF-IDF

AI Resume Screening

Automated Candidate Ranking

Private repo

TF-IDF + Cosine Sim

Method

Streamlit

Interface

Python · NLP · ML

Stack
Problem

Manual resume screening is time-consuming, introduces bias, and forces recruiters to spend hours on tasks that should take minutes.

Approach

Built a Streamlit web app that extracts resume content, compares it against job descriptions using TF-IDF and cosine similarity, then ranks candidates automatically with filtering by relevance score.

Outcome

Automated shortlisting pipeline that surfaces the most relevant candidates first — compressing screening from hours to seconds.