Add guide for adding projects to ZenML repository

ADDING_PROJECTS.md

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+# Adding Projects to ZenML Projects Repository
+
+<!-- Note: This guide is primarily for ZenML internal development use -->
+
+This guide explains how to add your ZenML project to this repository and make it available through the ZenML Projects platform.
+
+## 📋 Requirements
+
+Every project added to this repository must include:
+
+1. **requirements.txt file** - Contains all Python dependencies
+2. **Dockerfile** (if special configuration is needed)
+3. **Backend configuration** - YAML file in the zenml-projects-backend repository
+
+## 🐳 Docker Configuration
+
+### When to Include a Dockerfile
+
+Include a custom Dockerfile **only if** your project requires:
+- Special system dependencies
+- Custom environment variables
+- Additional configuration beyond Python packages
+- Specific build steps
+
+### Dockerfile Structure
+
+If your project needs a custom Dockerfile, follow this exact structure:
+
+```dockerfile
+ARG ZENML_VERSION=latest
+ARG PROJECT_DIR_NAME
+ARG EXTENSION_VERSION=0.1.6
+
+FROM zenmldocker/zenml-codespace:${ZENML_VERSION}
+
+# Set build arguments again for use in subsequent commands
+ARG PROJECT_DIR_NAME
+ARG EXTENSION_VERSION
+
+# Set the working directory for the project
+WORKDIR /home/coder/extensions/zenml-io.zenml-tutorial-${EXTENSION_VERSION}-universal/pipelines
+
+# Copy the specific project's requirements file
+COPY ./${PROJECT_DIR_NAME}/requirements.txt /tmp/requirements.txt
+
+# Install project-specific dependencies using uv for faster installation
+RUN uv pip install --system --no-cache -r /tmp/requirements.txt && \
+    rm /tmp/requirements.txt
+
+# Enable tutorial content for this specific project
+ENV ZENML_ENABLE_TUTORIAL=true
+
+# Default command can be overridden in docker run or docker-compose
+# CMD ["python", "run.py"] # Or your project's typical entrypoint
+```
+
+### When No Dockerfile is Needed
+
+If your project only requires Python dependencies listed in `requirements.txt`, **do not include a Dockerfile**. The projects backend will automatically build your project using the generic Dockerfile available at:
+[https://github.com/zenml-io/zenml-projects-backend/blob/main/.docker/project.Dockerfile](https://github.com/zenml-io/zenml-projects-backend/blob/main/.docker/project.Dockerfile)
+
+## 🔧 Backend Integration
+
+### YAML Configuration File
+
+Once your project is added to this repository, you **must** create a corresponding YAML configuration file in the `zenml-projects-backend` repository. This file should include all the following attributes:
+
+```yaml
+project_id: your-project-id
+name: Your Project Name
+description: A comprehensive description of what your project does and its key features
+github: https://github.com/zenml-io/zenml-projects/tree/main/your-project-directory
+preview_image: https://github.com/your-org/your-project/raw/main/assets/preview.png
+main_image_link: https://public-flavor-logos.s3.eu-central-1.amazonaws.com/projects/[PROJECT_NUMBER].jpg
+details: |
+  Detailed description of your project including:
+
+  ### What It Does
+
+  Explain the main functionality and purpose of your project
+
+  ### Key Features
+
+  - Feature 1: Description
+  - Feature 2: Description
+  - Feature 3: Description
+
+  ### How It Works
+
+  Step-by-step explanation of how users can use your project
+
+  ### Architecture
+
+  Brief overview of the technical architecture
+
+environment_variables:
+  CUSTOM_VAR: 'value'
+  ANOTHER_VAR: 'another_value'
+
+stack:
+  orchestrator: default
+  artifact_store: default
+  # Add other stack components if needed
+
+tags:
+- domain (e.g., llmops, cv, mlops)
+- technology (e.g., pytorch, tensorflow, hugging-face)
+- use-case (e.g., classification, forecasting, nlp)
+
+tools_used:
+- zenml
+- pytorch
+- pandas
+- scikit-learn
+# Add all major tools/libraries used
+
+pipelines:
+- name: Main Pipeline Name
+  description: Description of what this pipeline does
+- name: Secondary Pipeline Name
+  description: Description of secondary pipeline (if applicable)
+
+architecture_diagram: assets/architecture-diagram.png  # Optional
+
+codespace:
+  enabled: true
+  cpu: 4
+  memory: 8
+```
+
+### Required YAML Attributes
+
+| Attribute | Description | Required |
+|-----------|-------------|----------|
+| `project_id` | Unique identifier for your project | ✅ |
+| `name` | Display name of your project | ✅ |
+| `description` | Short description (1-2 sentences) | ✅ |
+| `github` | GitHub URL to your project directory | ✅ |
+| `preview_image` | URL to preview image | ✅ |
+| `main_image_link` | S3 URL to main project image | ✅ |
+| `details` | Detailed markdown description | ✅ |
+| `environment_variables` | Custom environment variables | ❌ |
+| `stack` | ZenML stack configuration | ✅ |
+| `tags` | Categorization tags | ✅ |
+| `tools_used` | List of technologies used | ✅ |
+| `pipelines` | List of pipelines in the project | ✅ |
+| `architecture_diagram` | Path to architecture diagram | ❌ |
+| `codespace` | Codespace configuration | ❌ |
+| `versions` | Version information | ❌ |
+
+## 🖼️ Image Requirements
+
+### Main Project Image
+
+The `main_image_link` should point to an image stored in the S3 bucket:
+```
+https://public-flavor-logos.s3.eu-central-1.amazonaws.com/projects/[PROJECT_NUMBER].jpg
+```
+
+**Image Requirements:**
+- Format: JPG or PNG
+- Recommended size: 1200x630 pixels
+- High quality and representative of your project
+- Upload to the S3 bucket before adding to YAML
+
+### Preview Image
+
+The `preview_image` can be:
+- Stored in your project's assets directory
+- Hosted on GitHub (using raw.githubusercontent.com URLs)
+- External hosting (ensure it's reliable)
+
+## 🚀 Deployment Process
+
+### Step-by-Step Process
+
+1. **Add Project to This Repository**
+   - Create your project directory
+   - Include `requirements.txt`
+   - Add `Dockerfile` if needed
+   - Include comprehensive README.md
+   - Test your project locally
+
+2. **Upload Main Image to S3**
+   - Upload your main project image to the S3 bucket
+   - Note the project number for the YAML file
+
+3. **Create Backend Configuration**
+   - Fork the `zenml-projects-backend` repository
+   - Create the YAML configuration file
+   - Submit a pull request
+
+4. **Automatic Sync**
+   - Once both PRs are merged to main
+   - GitHub Actions will automatically sync the project list with Webflow
+   - Your project will appear on the ZenML Projects website
+
+### Testing Your Setup
+
+Before submitting your PR, ensure:
+- [ ] Your project runs locally with ZenML
+- [ ] All dependencies are listed in `requirements.txt`
+- [ ] Dockerfile builds successfully (if included)
+- [ ] README.md is comprehensive and clear
+- [ ] All required YAML attributes are filled out
+- [ ] Images are accessible and high quality
+
+## 📝 Example Projects
+
+Refer to existing projects in this repository for examples:
+- [ZenML Support Agent](zenml-support-agent/) - LLMOps project
+- [Computer Vision End-to-End](end-to-end-computer-vision/) - CV project
+- [Credit Scorer](credit-scorer/) - Traditional ML project
+
+## 🆘 Getting Help
+
+If you need help adding your project:
+- Join our [Slack community](https://zenml.io/slack)
+- Open an issue in this repository
+- Check the [ZenML documentation](https://docs.zenml.io/)
+
+## 📜 License
+
+By contributing your project, you agree that it will be licensed under the Apache License Version 2.0, consistent with this repository's license.