Background
Cycle literacy, nutrition knowledge, and stress management tools are limited for many women in Africa. Most health AI systems are built on Western data and often give advice that does not align with local food, daily life, or language. Asele includes Amara AI, a cycle aware assistant that offers health aligned guidance using African context, local food references, and multilingual support. The system uses cycle phase as the core personalization signal to avoid intrusive data collection.
Keywords: Localization and Contextualization of AI in Healthcare