Contributing to Reciclaje AI
Thank you for your interest in contributing to Reciclaje AI! This project aims to make recycling more efficient through AI-powered waste detection and classification.Contributions of all kinds are welcome - from bug fixes and documentation improvements to new features and model enhancements.
Ways to Contribute
Report Bugs
Found a bug? Report it on GitHub Issues with detailed information
Suggest Features
Have an idea? Share it through GitHub Issues or Discussions
Improve Documentation
Help make the docs better for everyone
Write Code
Submit pull requests for bug fixes or new features
Train Models
Help improve detection accuracy with better training data
Share Knowledge
Help others in the community and spread the word
Getting Started
1. Fork and Clone
Fork the Repository
Visit the GitHub repository and click the “Fork” button.
2. Set Up Development Environment
Create Virtual Environment
Create Virtual Environment
Install Dependencies
Install Dependencies
Download Model File
Download Model File
Download the trained model from Hugging Face:
3. Create a Branch
Always create a new branch for your changes:Making Changes
Code Guidelines
Python Style Guide
Python Style Guide
- Follow PEP 8 style guidelines
- Use meaningful variable and function names
- Add comments for complex logic
- Keep functions focused and concise
Code Structure
Code Structure
Good practices:
- Extract magic numbers into constants
- Use configuration files for settings
- Handle exceptions properly
- Add docstrings to functions
Commit Messages
Commit Messages
Write clear, descriptive commit messages:Format:Types:
feat:New featurefix:Bug fixdocs:Documentation changesrefactor:Code refactoringtest:Adding testschore:Maintenance tasks
Testing Your Changes
Test Edge Cases
- Test with different cameras
- Test with various lighting conditions
- Test with multiple objects
- Test error handling
Submitting Changes
Create a Pull Request
Pull Request Guidelines
PR Description Template
PR Description Template
Before Submitting
Before Submitting
Checklist:
- Code follows project style guidelines
- Code has been tested locally
- Comments added for complex logic
- Documentation updated if needed
- No unnecessary files included
- Commit messages are clear
- Branch is up to date with main
Contribution Areas
Improve Detection Model
Model Enhancement
Help improve detection accuracy:
- Collect and label more training data
- Test with different lighting conditions
- Add new waste categories
- Optimize model performance
- Create model evaluation scripts
Enhance User Interface
UI/UX Improvements
Make the application more user-friendly:
- Improve GUI design
- Add configuration interface
- Create settings panel
- Add multi-language support
- Improve error messages
Add New Features
Feature Ideas
Potential features to implement:
- Statistics tracking and reporting
- Database integration for history
- Web interface or REST API
- Mobile app version
- Batch image processing
- Export detection results
- Real-time alerts and notifications
Documentation
Documentation Tasks
Help improve documentation:
- Add more code examples
- Create video tutorials
- Translate documentation
- Write troubleshooting guides
- Document API endpoints
- Create architecture diagrams
Support the Project
There are many ways to support Reciclaje AI beyond code contributions!
Subscribe on YouTube
Subscribe to AprendeIngenia’s YouTube channel
Star on GitHub
Give the project a star to show your support
Share the Project
Tell others about Reciclaje AI on social media
Report Issues
Help identify and report bugs or improvements
Community Guidelines
- Be respectful: Treat everyone with respect and kindness
- Be constructive: Provide helpful feedback and suggestions
- Be patient: Remember that maintainers are volunteers
- Be collaborative: Work together to solve problems
- Be positive: Celebrate contributions and successes
Questions?
If you have questions about contributing:- Check the tutorial video
- Review existing GitHub Issues
- Join the community
- Reach out on social media