kalisto263/LLMs

A hands-on demo showing how AI and UlizaLlama can power multilingual health chatbots for low-resource settings, with prompt design, safety filters, and WhatsApp integration. # 💫 AI Practical Applications in Healthcare 💫 Welcome to this hands-on session — we're taking AI into real-world healthcare delivery 🚀. Instead of just theory, we'll build a prototype conversational bot leveraging UlizaLlama, supporting English & Swahili (and potentially other languages). This bot can be used as a backend for WhatsApp messaging. 📌 Follow along in Colab: 🔄 What's in this lesson? This practical is designed to help participants go from setup to a working AI health assistant chatbot: - Loading UlizaLlama - Prompt design / wrapper - Simple chat loop - Safety / filtering logic - (Discussion) WhatsApp integration - Deploying AI solutions in low-resource environments Content: AI for Health , Conversational System Level: Beginner --- 🎯 **Learning Objectives** By the end of this session, participants will be able to: - Load and use UlizaLlama in Colab - Craft prompts / wrappers for health domain conversations - Add basic safety filters - Understand integration path to WhatsApp APIs **Prerequisites**: - Python familiarity - Basic knowledge of transformers / prompt engineering - Curiosity about digital health innovation