DCL-AIHost : Virtual Land AI Assistant for everyone to use

by 0x88b174ad26c774d99184b22458aa64778d792bc3 (DaikenZ)

Should the following $18,500 grant in the Platform category be approved?

Abstract

DCL-AIHost aims to bring life to the Decentraland platform by providing an open source, interactive AI model that caters to incoming visitors on land. This project aims to enable everyone to solve the problem of land feeling lifeless and directionless, enhancing user experience and engagement and also providing utility.This project is not only for landowners but for the entire Decentraland community, making it a free and accessible tool for everyone.

Grant size

18,500 USD in DAI

Project duration

4 months

Beneficiary address

0x88b174aD26c774D99184b22458AA64778D792bc3

Email address

daikenz.metaverse@gmail.com

Description

DCL-AIHost is an open-source solution designed to address current problems in Decentraland, a virtual world. It brings life and interactivity to the land by providing an AI assistant to guide and assist visitors, enhancing their experience and engagement. The key features of DCL-AIHost include:

Open Source: DCL-AIHost is available as an npm package, allowing the Decentraland community to integrate it into their projects and contribute to its development.

Customizable: Landowners can customize the assistant's appearance, placement, initial dialogues, persona, and backstory, creating unique and engaging experiences for visitors.

Interactive UI: The assistant features a user-friendly UI with buttons and text boxes for natural and intuitive interaction. Visitors can engage with the assistant through predefined dialogues or by communicating directly via text.

Voice Interaction: The assistant can speak in different voices, providing a more immersive experience for visitors. Future updates may include features like custom voices and voice cloning.

Custom Tasks: The assistant can be programmed to perform various tasks for the owner or visitors, allowing for high levels of customization and utility. Examples include controlling lights and playing music in a scene.

Insights and Analytics: The assistant provides useful insights to landowners, such as visitor count, session metrics, and more. This information helps owners make data-driven decisions to improve their land and visitor experience. Future updates may include comprehensive reports to analyze visitor preferences and feedback.

DCL-AIHost aims to make Decentraland more welcoming, engaging, and personalized, enhancing user satisfaction and promoting the growth of the virtual world.

Due to the 3500 word limit here is the link to the detailed proposal - https://docs.google.com/document/d/1L0ovoT_uOF3-Nx00RW6Kh9Ywq11marQlIyqS2T_jTM8/edit?usp=sharing

Roadmap and milestones

Foundation Setup (3 weeks): Establishing the foundation of the AI model, integrating Convai's core character API, and implementing context retention and persona-based interactions.

Platform Integration (3 weeks): Integrating the assistant with the Decentraland platform, creating an npm package, and ensuring easy installation and usage in Decentraland projects.

UI and Customization (4 weeks): Developing a user-friendly UI for the assistant, implementing customization features for 3D models, positions, initial dialogues, and backstories.

Voice Interaction (2 weeks): Implementing voice interaction by integrating a text-to-speech service and providing options for different voices.

Insights and Analytics (2 weeks): Developing insights and analytics features to provide useful information to landowners, such as visitor count and session metrics.

Documentation (1 week): Creating detailed documentation for easy setup and usage of the DCL-AIHost package.

Testing and Launch (2 weeks): Conducting comprehensive testing of all features and officially launching the DCL-AIHost package.

The estimated project duration is approximately 4 months, considering the time required for each phase.

This proposal is summarized due to technical limitations. To view it complete and vote on it, visit the DCL DAO Governance dApp