📌 Job Application Optimizer

WIP

🚀 AI-powered tool for optimizing CVs & cover letters for ATS & recruiters

📖 Overview

Job Application Optimizer helps job seekers refine their CVs and cover letters to increase their chances of passing Applicant Tracking Systems (ATS) and catching recruiters' attention.

This tool provides AI-powered step-by-step guidance, ATS analysis, and content improvements to craft stronger job applications.

✨ Features

✅ ATS Optimization – Improve CVs to pass ATS filters.
✅ AI-Powered Enhancements – Generate ATS-friendly keyword suggestions.
✅ Step-by-Step AI Guidance – Guide users through the application process.
✅ Cover Letter Personalization – Create tailored, impactful cover letters.
✅ Gap Analysis – Identify missing skills, weak phrasing, and formatting issues.
✅ Bilingual Support – English & French versions available.
✅ CLI & API Integration (Upcoming) – Automate with a command-line tool and API.

📂 Project Structure

JobAppOptimizer/
├── README.md                # Documentation
├── LICENSE                  # MIT License (recommended)
├── requirements.txt         # Dependencies
├── prompts/                 # AI prompts (English & French)
│   ├── en/                  # English prompts
│   ├── fr/                  # French prompts
├── scripts/                 # Core functionalities
│   ├── interactive_cv_optimizer.py  # CLI tool
│   ├── ats_scoring.py              # ATS score calculation
│   ├── cv_parser.py                # CV & job description parser
│   ├── keyword_extractor.py        # AI keyword detection
│   ├── cover_letter_generator.py   # AI cover letter tool
├── api/                     # API backend (FastAPI)
│   ├── app.py                # Main API entry point
│   ├── endpoints/            # API endpoints
│   │   ├── process_cv.py
│   │   ├── score_ats.py
│   │   ├── generate_cover_letter.py
│   │   ├── process_cv_fr.py   # French support
├── docs/                    # Documentation
│   ├── en/                   # English docs
│   ├── fr/                   # French docs

🚀 Installation

1️⃣ Clone the Repository

git clone https://github.com/yourusername/JobAppOptimizer.git
cd JobAppOptimizer

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the CLI Tool

python scripts/interactive_cv_optimizer.py

📌 How It Works

The Job Application Optimizer follows a structured 6-step process:

1️⃣ Extract Key Information – Analyze the CV & job description.
2️⃣ Analyze ATS Compatibility – Identify strengths & gaps.
3️⃣ Refine the CV – Improve content, keywords, and structure.
4️⃣ Personalize – Highlight hidden strengths & motivations.
5️⃣ Generate a Cover Letter – Tailored to the job & company.
6️⃣ Final Review & Interview Prep – Last-minute improvements & sample questions.

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🔜 Roadmap

Phase	Feature	Status
✅ Phase 1	Structured Prompts (English & French)	✅ Done
🔜 Phase 2	Interactive CLI Tool	In Progress
🔜 Phase 3	AI-Powered ATS Optimization (Ollama & LangChain)	Upcoming
🔜 Phase 4	Web App (FastAPI + Frontend)	Upcoming

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🤝 Contributions

💡 Want to contribute? Follow these steps:

1. Fork the repo on GitHub.
2. Clone your fork and create a new branch.
3. Make your improvements and commit changes.
4. Submit a pull request for review!

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📜 License

This project is licensed under the MIT License – free to use & modify.

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🚀 Ready to optimize your CV & land more interviews? Try it now!
📩 Questions? Open an issue or submit a pull request!