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golfsong707/Folktale-Studio

Domaine:

natural language processingeducation

Type de record:

projectsoftware
Créateur:
gol
Hôte:
he Ìgálâ Folktale Pedagogical Studio is an AI-driven educational ecosystem that preserves and disseminates traditional Ìgálâ oral narratives. By bridging the gap between ancestral wisdom and modern technology, we transform the oral folktale (TILOW) into a high-fidelity, interactive, and cross-curricular learning resource. Ìgálâ Folktale Pedagogical Studio **Reimagining Cultural Heritage through AI-Powered Pedagogy** ## Project Overview The Ìgálâ Folktale Pedagogical Studio is an AI-driven educational ecosystem that preserves and disseminates traditional Ìgálâ oral narratives. By bridging the gap between ancestral wisdom and modern technology, we transform the oral folktale *Tortoise in the Land of Women* (TILOW) into a high-fidelity, interactive, and cross-curricular learning resource. ## The Problem Oral traditions are at risk of being lost in a digital-first world. Educators in low-resource environments lack the tools to bridge the gap between cultural storytelling and modern academic curriculum (Science, Civics, Linguistics), and they lack access to high-quality, culturally-authenticated creative assets. ## The Solution: AI as a Creative Partner Our platform uses AI not as a replacement, but as a **Creative Partner** that: * **Generates Culturally Authentic Imagery:** Using IBM Granite to produce visuals that honor the Ìgálâ aesthetic. * **Automates Linguistic Annotation:** Simplifying the complex ELAN-style morphosyntactic glossing. * **Democratizes Pedagogy:** Converting digital narratives into offline-ready, printable educational materials for schools without internet access. ## IBM Technology Stack - **Development Tool:** IBM Bob (Primary orchestrator and development partner). - **Inference Engine:** IBM Granite for structured reasoning and image prompt engineering. - **Workflow:** LangChain & LangFlow for managing complex pedagogical agentic chains. - **Infrastructure:** Built with Next.js, React, and Python for a premium, dark-mode-first user experience.