BaseArena

The problem it solves

Game developers and builders face a set of nuanced challenges:

Data and Analytics: Measuring improvements and gathering insights from gameplay can be complex and fragmented.
On-Chain Rewards: There is a growing need for systems that reward achievements in an authentic and decentralized manner.
Asset Generation: Manually creating game assets and NFTs is time-consuming and often lacks uniqueness.
Community and Engagement: Developers and gamers alike seek a supportive ecosystem that offers meaningful feedback and a touch of personalization, such as an AI-generated gaming doppleganger.
Less Distribution for new on-chain games: on-chain games have terrible UX and very few people actually use it

Emerging Web3 Ecosystem: As blockchain adoption continues to grow, there is an increasing interest in platforms that blend traditional gaming with decentralized finance and asset ownership.
Gaming Innovation: The gaming industry is ripe for tools that not only enhance game development but also empower developers with AI-driven performance insights.
Developer-Centric Tools: With a focus on precision and subtlety, BaseArena meets the need for sophisticated yet elegant developer toolkits that integrate seamlessly with existing game engines.

BaseArena provides a thoughtful integration of three core elements:

Web3 Technologies: Enjoy on-chain rewards, transparent smart contract operations, and the minting of unique, AI-generated NFTs. ERC2771 based Account abstraction
Gaming Analytics: Our SDK, demonstrated through an Angry Birds-inspired plugin, captures gameplay data with minimal intrusion while offering a crisp, detailed analytics dashboard.
AI Agents: Leveraging advanced AI, our system delivers insightful recommendations and even identifies a "gaming doppleganger"—suggesting a notable personality from the KOL's who might inspire you.

Text to Image generation from DeepAI was hallucinating a lot. Had to fix it using detailed long prompts
Structured outputs in RAG Based models was very hard for implementation
Deployment of backend to render