DonMcKendiez/Lyec-AI

AI for acholi learning and acholi speakers # Wang Pa: The Ancestral Archive & Language Laboratory **Wang Pa** (Acholi for "The Heritage Spot") is a high-fidelity language learning and cultural preservation application dedicated to the Luo dialects, beginning with the **Acholi** language of Northern Uganda. Built for the next generation of digital archivists, Wang Pa bridges the gap between traditional wisdom and modern linguistic fluency using cutting-edge neural interfaces and interactive pedagogical systems. ## 🏺 Core Systems ### 🎙️ Neural Guide Link Live, high-fidelity interaction with AI-powered ancestral guides modeled after esteemed community figures. - **Mzee Okot**: Deep historical context and clan wisdom. - **Acan**: Precision tonal guidance and linguistic expertise. - **Adaptive Pedagogy**: The system dynamically scales linguistic complexity based on the archivist's current proficiency level. ### 🏋️ The Mental Fortress An interactive drill environment designed to sharpen linguistic reflexes and structural comprehension. - **Syntactic Puzzles**: Interactive drag-and-drop mechanics to master the sophisticated syntax of Luo dialects. - **Harmonic Alignment**: Real-time pronunciation analysis with instant feedback on tonal accuracy and phonetic clarity. ### 🖼️ Heritage Scanner A visual archival tool for identifying and understanding material culture. - **Artifact Analysis**: Identify traditional tools, culinary heritage (e.g., *Kado Malakwang*), and cultural regalia through computer vision. - **Archival Wisdom**: A curated stream of proverbs (*Luo Proverb of the Day*) and folklore. ### 👤 Archivist Profile A comprehensive telemetry dashboard tracking your linguistic journey. - **Mastery Metrics**: Progress visualization across Vocabulary, Grammar, Pronunciation, and Cultural Insight. - **Fluency Tiers**: Evolution from *Seedling* to *Harvesting* stages. ## 🛠️ The Architecture Wang Pa is built on a modern, distributed stack designed for performance and cultural precision: - **Interface**: React …