Developed AI-driven job application evaluation pipeline

• Day: 2024-06-05
• Time: 19:10 to 20:05
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: AI, Job Evaluation, Openai Api, Python, Automation

Description

Session Goal: The primary aim of this session was to develop an AI-driven pipeline for evaluating job applications using OpenAI’s API.

Key Activities:

• Planning: Outlined a structured approach to create an AI-based HR team for evaluating candidate profiles against job offers.
• Implementation: Developed a Python function utilizing GPT-4 to assess job applications across four dimensions: relevance, capacitation, weaknesses, and strengths.
• Migration: Updated the job application evaluation process to use the new OpenAI API, replacing deprecated methods.
• Correction and Enhancement: Corrected errors in the function, improved error handling, and incorporated debugging features to ensure robust API interaction.

Achievements: Successfully developed and refined a robust job application evaluation function that integrates with the latest OpenAI API, improving functionality and error resilience.

Pending Tasks: None identified; the session concluded with a fully functional implementation.

Evidence

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