WellBot Africa

Problem Statement

In francophone Africa, millions of people live far from the nearest health center with no access to reliable medical information. In rural Senegal, 1 doctor serves over 10,000 people on average. When symptoms appear, families don't know whether to wait, go to a pharmacy, or rush to the hospital. This uncertainty costs lives — especially for fast-moving diseases like malaria, cholera, and dengue.

Solution Overview

WellBot Africa is an AI-powered community health assistant built on ASI:One that helps francophone African populations identify symptoms, understand when to seek emergency care, and access wellness information — completely free, 24/7, with no app to download.

Key Features

• Symptom identification for common African diseases (malaria, cholera, dengue, typhoid, malnutrition)
• Emergency guidance with local emergency numbers (SAMU Sénégal: 15)
• Maternal and child health support (pregnancy, vaccination, nutrition)
• Mental health and well-being advice
• Prevention and hygiene best practices
• Responds in French AND Wolof

Technologies Used

ASI:One LLM, uAgents Framework, Python, Agentverse, OpenAI SDK

Target Users

Francophone African communities, particularly in Senegal, Mali, and Côte d'Ivoire — including rural populations, mothers, students, and anyone without easy access to healthcare professionals.

Social Impact

WellBot Africa directly addresses UN SDG 3 (Good Health and Well-being) by bringing reliable health information to underserved communities. It empowers people to make informed health decisions, reduces unnecessary emergency visits, and could save lives by helping users recognize urgent symptoms early. Built by an African student, for African communities — with full cultural and linguistic grounding.

Built With

• agentverse
• asi:one-llm
• python
• uagents-framework