ZOOPI

ZOOPI

A DAO-based gamefi where players can train and nurture their AI-integrated pets and bring them to travel and battle in pixelated world.

ZOOPI

ZOOPI

A DAO-based gamefi where players can train and nurture their AI-integrated pets and bring them to travel and battle in pixelated world.

The problem ZOOPI solves

i) Earn While Playing
Zoopi adopts a play-to-earn model enabled by Web3 technology. Players can earn cryptocurrency or valuable in-game assets by participating in various activities such as battling, training, and traveling with their pets. This provides an opportunity for players to monetize their gaming skills and time spent in the game.

ii) Community Engagement and Socialization
Zoopi fosters a vibrant community where players can connect, interact, and collaborate. Features like pet photo-taking with other players' pets and group travels encourage socialization and friendship building within the game.

iii) Creative Expression and Customization (DAO community)
With the ability to customize their pet skins, players can express their creativity and personalize their gaming experience. This fosters a sense of ownership and pride in their virtual assets, enhancing player engagement and attachment to the game.

Challenges we ran into

Challenges:
i) Integration of Web3 Technology
Implementing Web3 technology, including blockchain integration and NFT functionality, might have posed challenges due to its technical complexity and the need for secure and efficient implementation.

ii) Frontend and Backend Integration
Integrating the frontend game mechanics with the blockchain backend could have presented compatibility issues or required specialized knowledge of both game development and blockchain technology.

iii) AI Implementation
Incorporating AI Virtual Protocol have required basic coding knowledge to connect with API and optimization to ensure smooth integration with the game mechanics.

Solution Overcome it:
i) Community Engagement
Engaging with other participants, seeking feedback from others, and leveraging open-source resources enabling us to overcome hurdles collaboratively.

ii) Collaboration and Research
Seeking expert advice and guidance from mentors and other participants who are experienced in developing AI and Web3 based helped us overcomed technical challenges.

iii) Continuous Learning and Adaptation
Staying updated with the latest advancements in blockchain technology, AI algorithms, and game development practices allowed us to adapt to challenges effectively and implement innovative solutions.

Tracks Applied (2)

Solution Tracks

Zoopi: A Web3-based NFT game where player can train and nurturing their AI-integrated pets and bring them to travel and ...Read More

Best AI Use Case for Gaming, Social or Digital Entertainment

We are trying to put virtual protocol in to our pet simulation game with a set of game mechanics that allow for simple i...Read More

Virtuals Protocol

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