📅 2024-06-05 — Session: Developed AI-driven job application evaluation pipeline
🕒 19:10–20:05
🏷️ Labels: AI, Job Evaluation, Openai Api, Python, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
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.