Technologies Used
CSSMachine Learning
HTML
SQLite3
Flask
Advanced Python
NLP
Angular
About
We need more women in tech. We need more women to apply to tech jobs. We need women to see themselves in tech job postings and to say, "That is me! I can do that!" Language matters. Job postings often carry unconscious bias, using words that target "male" attributes. We mine thousands of resumes to learn how men and women *describe themselves*, and then build a language model and recommender engine to analyze text and provide alternative recommendations for (male) gendered words. Go for "neutral" word replacements, or even more progressively, use "female gendered" words and specifically target women to directly address the gender gap in tech. Find the talent you're looking for with the language they use to describe themselves.
Julie Elberfeld - 2135d