Sellesta/-Kikuyu-AI-model

Develop an AI-driven platform that facilitates the learning and teaching of Kikuyu, Swahili, and English through interactive features, translations, and language exercises. This model will promote the continuity of the Kikuyu language by offering rich learning tools and bridging it with more commonly spoken languages. # Kikuyu-AI-model A Machine learning platform designed to facilitate the learning and teaching of Kikuyu, Swahili, and English through interactive exercises, translations, and personalized language tools. This initiative aims to preserve and promote the Kikuyu language while fostering multilingual competence. --- ## 📖 Table of Contents - Introduction - Features - Technology Stack - Installation - Usage - Configuration - Examples - Documentation - Troubleshooting - Contributors - License - Citations & Resources --- ## 🌍 Introduction **Kikuyu-AI-model** is a language learning and translation platform focused on revitalizing the Kikuyu (Gĩkũyũ) language. Spoken by over 8 million people in Kenya, Kikuyu is increasingly under threat due to the widespread use of English and Swahili. This project leverages AI and Natural Language Processing (NLP) to: - Support personalized learning - Facilitate translations between Kikuyu, Swahili, and English - Integrate cultural and linguistic nuances - Encourage educational adoption and community engagement By bridging linguistic gaps and modern technologies, this tool supports both learners and researchers in deepening their understanding of the Kikuyu language and culture. --- ## ✨ Features - 🌐 **Multilingual Translation**: Kikuyu ↔ Swahili ↔ English - 🧠 **Interactive Learning Modules**: Vocabulary, grammar, and usage - 🎧 **Pronunciation Assistance**: Audio support for words and phrases - 🧩 **Quizzes & Exercises**: Reinforce learning through interactive challenges - 🗣️ **Voice Interaction**: Speech recognition and response for conversational practice - 📝 **Adaptive Learning**: Adjusts difficulty based on user performance - 📚 **Cultural Insights**: Information on Kikuyu traditions and idiomatic usage --- ## 🧰 Technology Stack - **Language**: Python - **AI/ML Frameworks**: TensorFlow or PyTorch - **NLP Libraries**: Hugging Face Transformers, spaCy, NLTK - **Deployment Options**: Streamlit / Flask web app, API endpoint - …