DATA SCIENCE CAPSTONE · BROWSER EDITION
Find the connection.
Match your résumé to job descriptions.
See the skills and words behind each recommendation.
Your résumé is processed in your browser.
It is not uploaded or stored on a server.
Start with your story.
Your connections.
Good matches start with context.
Add your résumé or try the example.
The model will rank roles and explain each match.
Similarity measures text overlap, not hiring chances. Skills explain a match; they do not change the ranking.
The project, working in your browser.
This edition runs the original capstone’s Python ranking class and text-cleaning helpers through Pyodide. The interface and example roles are adapted for the portfolio. The full Streamlit project includes additional résumé formats, job API integrations, and human-judgment evaluation.
The small browser dataset uses min_df=1 and max_df=1.0. Different datasets and settings will produce different rankings.