1. Update first section with a blurb like:
   If you want to know more about MONAI Deploy WG vision, overall structure and guidelines, please read [LINk to monai-deploy] first.

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

2. Update features description with:

• Build medical imaging inference applications using a flexible, extensible & usable Pythonic API
• Easy management of inference applications via programmable Directed Acyclic Graphs (DAGs)
• Built-in operators to load DICOM data to be ingested in an inference app
• Out-of-the-box support for in-proc PyTorch based inference
• Easy incorporation of MONAI based pre and post transformations in the inference application
• Package inference application with a single command into a portable MONAI Application Package
• Locally run and debug your inference application using App Runner

3. Move to Backlog Project (Check MONAI Label or core for inspiration)

• A lightweight app analytics module
• A lightweight 2D/3D visualization module
• A development console