All Work03 / 03
2024PythonStreamlitNLPTF-IDF
AI Resume Screening
Automated Candidate Ranking
Private repo
TF-IDF + Cosine Sim
MethodStreamlit
InterfacePython · NLP · ML
StackProblem
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.