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Free Tool

README Generator

Create professional, production-ready README.md files for your GitHub projects. Supports AI/ML, IoT, Web3, and all modern tech stacks.

📂 Project Type

Project Info

Links & Media

🏷️ Badges (shields.io)

license

status

tech

Features

🛠️ Tech Stack

⚙️ Environment Variables

No environment variables added. Click "Add" to include a .env section.

🚀 Installation Commands

📡 API Endpoints (Optional)

Author Info

GitHub projects without proper READMEs don't get noticed. Recruiters look at your GitHub—a well-documented project shows professionalism, even for student projects.

What This Tool Checks

  • Generates professional README.md structure
  • Creates installation and setup instructions
  • Adds technology badges and shields
  • Includes contribution guidelines
  • Formats with proper Markdown syntax
  • Suggests sections based on project type

Who Should Use This Tool

  • Students showcasing projects on GitHub
  • Freshers building a portfolio
  • Open source contributors
  • Bootcamp graduates documenting work
  • Anyone whose projects look incomplete

Common Mistakes to Avoid

  • Having only 'TODO: Add readme' in the file
  • Missing installation/setup instructions
  • No screenshots or demo for visual projects
  • Not listing technologies used
  • Writing in first person instead of third person

Frequently Asked Questions

Minimum: Title, description (2-3 sentences), technologies used, installation steps, usage/demo, and screenshots if visual. Optional: Features list, future improvements, license.
Use Shields.io—they're images linked from a URL. This tool generates common badges for technologies and status. They make your README look professional with minimal effort.
Start with a basic README before coding (clarifies scope), then update as you build. Final polish should happen after the project is complete but before you share it.
Yes. Technical recruiters and hiring managers open your pinned repos. If the README is blank or confusing, they move on. Even 10 minutes of documentation significantly improves perception.
Processed locally
No data stored