AI-driven analysis and optimization engine for high-visibility GitHub profiles.
GitHub Profile Optimizer AI analyzes your GitHub repositories and profile to score their search visibility, SEO density, and recruiter appeal. It evaluates repository naming, descriptions, topics, README quality, and commit activity to produce an actionable optimization score with recommendations for improving discoverability.
- Repository SEO density analysis and scoring (0-100)
- Profile visibility assessment for recruiter reach
- Naming convention and description quality checks
- Topic and tag coverage evaluation
- Actionable recommendations for profile improvement
- Batch analysis across all public repositories
- Language: Python 3.9+
- API: GitHub REST API
- Analysis: Custom scoring algorithms
- Build: Makefile
# Clone the repository
git clone https://github.com/razinahmed/github-profile-optimizer-ai.git
cd github-profile-optimizer-ai
# Install dependencies
pip install requests
# Run the optimizer
python optimizer.pyfrom optimizer import analyze_repo_density
# Analyze repository list for SEO density
result = analyze_repo_density(repos)
print(result)
# Output: "Scoring 98/100 for SEO density."github-profile-optimizer-ai/
├── optimizer.py # Core optimization and analysis engine
├── Makefile # Build and test commands
├── LICENSE # MIT License
├── SECURITY.md # Security policy
└── README.md # Project documentation
| Criterion | Weight | Description |
|---|---|---|
| Repository naming | High | Descriptive, keyword-rich repo names |
| Descriptions | High | Clear, concise repo descriptions with keywords |
| Topics/Tags | Medium | Relevant topics attached to each repository |
| README quality | Medium | Comprehensive documentation presence |
| Commit activity | Low | Recent and consistent commit history |
- Developers building a portfolio for job applications
- Open-source maintainers improving project discoverability
- Freelancers optimizing their GitHub presence for clients
- Teams auditing their organization's GitHub visibility
Contributions are welcome. Fork the repository, create a feature branch, and submit a pull request.
This project is licensed under the MIT License. See LICENSE for details.