Kuroro

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Tech Stack

Web3

Ethers

Node

Python

Solidity

Description

🌸 Kuroro — Forge, Learn, and Earn with Your AI Sensei 🌿

Kuroro is an AI-powered tutoring sanctuary, inspired by the elegance of Japanese wisdom and the calm of Zen philosophy. It offers a minimalist space for personalized, conversational learning , where every lesson is a step toward blooming.

🌿 Core Essence

Interactive Tutoring
Converse or speak with a personalized AI Sensei that adapts to your learning flow — like water.
Personalized Pathways
Kuroro gently learns your unique style, refining its teachings as you grow.
Smart Lessons & Quizzes
Serene, AI-crafted lessons and adaptive practice questions shaped by your rhythm.
Visual Progress Tracking
Experience growth through elegant skill maps, tranquil dashboards, and soft, rewarding feedback.

🪷 Create Your Own Sensei

Upload notes, PDFs, or thoughts to mint your custom AI Sensei.
Interact with it as your private tutor — available any time.
Share your Sensei in the Sensei Garden, and earn kōkō (light) tokens as others learn from it.

🌙 Why Kuroro?

Wabi-Sabi Interface
A minimalist, beautifully quiet design that soothes the mind.
Voice & Text Interaction
Whether you speak or type, your Sensei listens and responds with care.
Zen Incentives
Earn gently as your Sensei educates others — privacy and purpose at the core.

“Begin with one page, and let wisdom blossom.”

🔗 Website: https://kuroro-sensei.vercel.app/

🚧 Status: MVP Under Development

🧘 Theme: Zen, Japanese Minimalism, Personalized AI Learning

Progress During Hackathon

Kuroro – Hackathon Progress |1| Foundation and Vision - Designed initial visual asset concepts - Mapped UI flow and key user interactions - Defined core product tone: calm, zen, and personalized |2| Infrastructure and Smart Contracts - Developed early smart contracts for paywall-protected Senseis with token-based access - Implemented secure login via wallet |3| Core Features and Functionality - Integrated customizable Sensei chatbots, allowing users to define persona, tone, and response style - Built a RAG-based PDF reader, enabling users to upload documents and interact with personalized AI for instant contextual tutoring from the uploaded material |4| Additional Notes - Maintained consistent visual and linguistic identity - Designed with cross-device support in mind - Prioritized modular build for easier future scaling

Fundraising Status

Funding Status: Currently in the early stages of securing funding. We are exploring potential investors and partnerships, while also considering alternative revenue models, including token-based access and premium features for Senseis. The sections requiring funding include: - Development of advanced AI features for customizable Sensei chatbots - Expansion of infrastructure to support scalable token-based access - Marketing and user acquisition strategies to grow the platform - Integration of additional tools and features for cross-device compatibility