ai-garage

Job Description-Based Resume Optimizer - Agentic Workflow (using CrewAI)

The Job Description-Based Resume Optimizer is an innovative project designed to help job seekers tailor their resumes to specific job descriptions using advanced AI techniques.

By leveraging an agentic workflow comprising multi-agent system, this project ensures that resumes are optimized for Applicant Tracking Systems (ATS) and aligned with job requirements, enhancing the chances of landing an interview.

Currently, it uses:

• Crew AI for Multi-Agent workflow
• GPT-4o on Azure OpenAI (as LLM backbone for agents)

Note: One can use any LLM of their choice by making a minor change in the src/resume_optimizer_crew/crew.py file

Features

• Detailed Analysis: Provides a thorough analysis of both the resume and the job description to identify strengths, weaknesses, and areas for improvement.
• ATS Optimization: Ensures that resumes are optimized for Applicant Tracking Systems by incorporating relevant keywords and phrases.

CrewAI Flow for Resume Optimization

This is what the overall workflow looks like:

This workflow involves CrewAI agents in 2 steps:

• Resume Analysis: Using resume_analyzer agent
• Optimize Resume: Using job_description_analyzer & alignment_specialist agents

The detailed implementation can currently be found in the analysis.ipynb Notebook

GUI Tool

I’ve also created an intuitive streamlit application to allow users to seamlessly optimize their resume w.r.t. any job application.

Functionality

• Job Description Input: Users can paste the job description directly into a text area.
• Resume Upload: Supports uploading resumes in PDF and DOCX formats.
• Resume Analysis & Optimization: A single click to optimize the resume based on the provided job description.

The original & optimized versions are displayed side-by-side for comparison.

The optimized resume (markdown format) can also be downloaded.

Setup

Prerequisites

• Python 3.10 or higher
• Poetry [Installation Instructions]
• Setup your GPT Model on Azure OpenAI [Reference Video]

Usage

1. Clone the repository & get into the project directory

    git clone https://github.com/tezansahu/ai-garage.git
    cd ai-garage
   

2. Install dependencies using Poetry:

    poetry shell
    poetry install
   

3. cd job-description-based-resume-optimizer/src
4. Set up your environment variables in .env file.
5. Run the Streamlit app:

    streamlit run app.py
   

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