CV Optimizer (Still in Progress)

A multi-agent solution to optimize resumes using AI, focusing on providing intelligent feedback while maintaining privacy and accessibility.

Vision

CV Optimizer aims to democratize access to high-quality resume optimization using AI. We help job seekers present their best professional selves while reducing bias and improving job market accessibility.

Key Features

• 🤖 Intelligent resume parsing and analysis
• 📊 ATS (Applicant Tracking System) optimization
• 🔒 Privacy-first approach with PII protection
• 🎯 Job description matching
• ✍️ Smart content improvement suggestions
• 🌍 Multi-format support (PDF, DOCX, TXT)

Architecture

Built using hexagonal architecture principles, ensuring:

• Clean separation of concerns
• Pluggable AI providers
• Extensible agent system
• Comprehensive testing

This is a side project that I'm currently working on, but I intend to deliver an end-to-end product until the end of this year. For more details about the vision, visit CV Optimizer Notion Page.

Setup

1. Clone the repository
2. Create a virtual environment:
3. Install dependencies
4. Create a .env. file in the project root
5. Configure your environment variables in .env
6. Run tests to verify setup by running 'pytest' in your terminal