AI Project Canvas Builder

AI Project Canvas Builder A web-based tool to build structured implementation plans for AI projects.

About

The AI Project Canvas Builder helps AI practitioners, project managers, and stakeholders create comprehensive implementation plans for artificial intelligence projects. This tool provides a structured approach to planning AI initiatives, ensuring all critical aspects are considered from data requirements to skills, integration points, value proposition, and financial considerations.

Features

• Interactive canvas builder with real-time preview
• Pre-loaded examples for different AI domains
• Save drafts locally in your browser
• Export to PDF
• Responsive design for desktop and mobile use

Getting Started

Online Version

Access the tool directly at: https://github.com/HimJoe/ai-project-canvas/blob/main/README.md

Local Development

1. Clone the repository:

   git clone https://github.com/yourusername/ai-project-canvas.git
   

2. Open the index.html file in your browser:

   cd ai-project-canvas
   open index.html
   

How to Use

1. Start with a blank canvas or select a template from the dropdown
2. Fill in each section of the canvas using the tabs on the left
3. View the real-time preview on the right
4. Save your draft to continue later (stored in your browser)
5. Export to PDF when complete

Example Templates

Three example templates are included to demonstrate different AI implementation strategies:

• RetailAssist: Agentic AI for customer service in retail
• FinSummarize: Generative AI for financial document analysis
• VisionFix: Multimodal AI for manufacturing defect detection

Each template provides realistic content for all sections of the canvas based on real-world use cases.

Canvas Sections

The AI Project Canvas consists of the following sections:

1. Project Title: A clear, descriptive name for your AI project
2. Data: What data your AI project requires
3. Skills: Technical, domain, and project skills needed for development
4. Value Proposition: What value your AI project creates
5. Integration: How the project integrates with existing systems and processes
6. Customers: Who will use and benefit from the AI system
7. Output: Key metrics and success criteria
8. Stakeholders: Key players involved in or affected by the project
9. Cost: Development, implementation, and ongoing costs
10. Revenue/Savings: How the project generates value, cost savings, or revenue

Browser Compatibility

The AI Project Canvas Builder works in all modern browsers:

• Chrome/Edge (latest versions)
• Firefox (latest version)
• Safari (latest version)
• Mobile browsers (responsive design)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• The AI Project Canvas methodology is based on extensive research into successful AI implementation practices
• Example templates were developed based on real-world case studies in retail, finance, and manufacturing
• Built with vanilla JavaScript, HTML, and CSS - no frameworks required

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Built with ❤️ for the AI practitioner community