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Developer Launches MyZubster MVP Combining Environmental Data, AI and Decentralized Tools

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A developer has publicly released the minimum viable product (MVP) of MyZubster, an experimental open-source project that combines environmental data tracking, artificial intelligence, and decentralized technologies. The project is live on Render and includes features such as tree tracking, AI-assisted environmental queries, and a small digital comics catalog called Nicola Comics exposed via a public API. One comic entry is flagged as an NFT candidate, though the developer clarifies no token has been minted and rights remain unverified, distinguishing a tokenization proposal from an actual on-chain asset. The MVP is built using Python, Flask, Docker, and Gunicorn, with future plans to explore Ollama and Qdrant for AI and semantic search capabilities. The developer has published the project at this early stage to build transparently, test the architecture, and clearly separate verified functionality from ongoing experiments.

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