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This repository was archived by the owner on Jan 6, 2025. It is now read-only.
This repository was archived by the owner on Jan 6, 2025. It is now read-only.

Project: Using Vector Stores and Semantic Search to Reduce Bias in Recruitment #148

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Description

@nakiviar

Project Name

Reduce Bias

Description

Objective: Reduce bias in recruitment by focusing on skills and experience.
Vector Store: We store candidate profiles as vector embeddings using semantic representations.
Semantic Search: Matches job descriptions with candidate profiles based on meaning, not keywords.
Bias Reduction: Sensitive data (e.g., name, gender) is removed to ensure unbiased results.
Technology: Java and OpenAI are used to build the solution.

Technology & Languages

  • JavaScript
  • Java
  • .NET
  • Python
  • AI Studio
  • AI Search
  • PostgreSQL
  • Cosmos DB
  • Azure SQL

Project Repository URL

https://github.com/nakiviar/BiasGender.git

Deployed Endpoint URL

No response

Project Video

https://youtu.be/onjN6lFQDF8

Team Members

nakiviar

Activity

  1. multispark commented on Oct 23, 2024

    @multispark
    Contributor

    Hello Aylen Tejas (@nakiviar), thank you for participating in RAG Hack!

    The team is working hard to distribute badges. Please have each team member fill out this form:
    aka.ms/raghack/badge-dist

    Thank you!

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