GitHub - 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