https://github.com/tonykipkemboi/resume-optimization-crew
AI-powered resume optimization using CrewAI. Analyzes job postings, scores resume matches, and provides tailored improvements with multiple AI agents. Built for job seekers to maximize their application success.
https://github.com/tonykipkemboi/resume-optimization-crew
ai aiagents crewai optimization resume
Last synced: 5 months ago
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AI-powered resume optimization using CrewAI. Analyzes job postings, scores resume matches, and provides tailored improvements with multiple AI agents. Built for job seekers to maximize their application success.
- Host: GitHub
- URL: https://github.com/tonykipkemboi/resume-optimization-crew
- Owner: tonykipkemboi
- Created: 2025-01-28T08:27:29.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-04-22T20:20:54.000Z (7 months ago)
- Last Synced: 2025-06-20T05:45:06.271Z (5 months ago)
- Topics: ai, aiagents, crewai, optimization, resume
- Language: Python
- Homepage:
- Size: 307 KB
- Stars: 114
- Watchers: 1
- Forks: 47
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
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README
# Resume Optimization with CrewAI
An AI-powered tool that optimizes your resume for specific job applications using multiple AI agents. Built with [CrewAI](https://crewai.com).
## What It Does
1. **Job Analysis**: Analyzes job requirements, skills, and qualifications
2. **Resume Scoring**: Calculates match scores for technical skills, experience, and qualifications
3. **Optimization**: Suggests specific improvements to increase your match score
4. **Company Research**: Provides company insights for interview preparation
## Installation
1. Clone the repository and install dependencies:
```bash
git clone https://github.com/tonykipkemboi/resume-optimization-crew.git
cd resume-optimization-crew
```
2. Create a virtual environment and install dependencies:
```bash
python3 -m venv .venv
source .venv/bin/activate
crewai install
```
## Environment Setup
1. Copy `.env.example` to `.env`:
```bash
cp .env.example .env
```
2. Add your API keys to `.env`:
- Required:
- `OPENAI_API_KEY`: OpenAI API key
- `SERPER_API_KEY`: Serper API key for web search
- Optional:
- See `.env.example` for additional optional APIs
## Quick Start
1. Save your resume as PDF in the project root under the `knowledge/` directory:
- Feel free to use the sample resume provided in `knowledge/knowledge/CV_Mohan.pdf`
- I got it from [here](https://www.hbs.edu/doctoral/Documents/job-market/CV_Mohan.pdf)
2. Fill in the input data in `main.py`:
- `job_url`: URL of the job posting (e.g., 'https://www.mckinsey.com/careers/search-jobs/jobs/associate-15178')
- `company_name`: Name of the company (e.g., 'Mckinsey & Co.')
3. Run the optimization crew:
```bash
crewai run
```
## Output Files
The tool generates three JSON files in the `output` directory:
- `job_analysis.json`: Detailed job requirements and match scoring
- `resume_optimization.json`: Specific suggestions to improve your resume
- `company_research.json`: Company insights for interview prep
## Architecture
The system uses three specialized AI agents:
1. **Job Analyzer**: Extracts and analyzes job requirements
2. **Resume Analyzer**: Scores resume match and suggests improvements
3. **Company Researcher**: Gathers company information for interviews
## Requirements
- Python `>= 3.10` and `< 3.13`
- PDF resume file
- Job posting URL
- Company name
## Support
- [CrewAI Documentation](https://docs.crewai.com)
- [Community Forum](https://community.crewai.com)
- [Chat with our docs](https://chatg.pt/DWjSBZn)