1. Problem
1.1. Statistics:
- 24 million adults in Africa have diabetes, with 54% of cases undiagnosed.
- By 2045, the number of diabetics in Africa is expected to rise to 55 million, a 129% increase.
- 52% of Africans lack access to essential healthcare services.
1.2. Challenges:
- High numbers of undiagnosed and untreated cases due to poor access to healthcare.
- Limited education on diabetes prevention and management, leading to increased morbidity and mortality.
- Insufficient research on African diabetes trends, hindering data-driven policy-making.

2. Product
Wo'tosuga is a comprehensive diabetes care platform offering:
2.1. AI-Powered Diabetes Prediction: Uses a classifier algorithm with 88.8% accuracy and sensitivity to predict diabetes risk based on user-provided health data such as age, weight, diet, and physical activity.
2.2. Personalized Analytics, Recommendations and Care: Provides personalized analytics and actionable health insights powered by large language models (LLMs), including dietary and lifestyle recommendations. Users have the option to directly connect with diabetes care professionals.
2.3. Integrated Research Tools: Collects anonymized data to inform future studies and policy-making on diabetes in African populations.
2.4. Current Progress
The Wo'tosuga prototype has been developed and deployed at wotosuga.onrender.com. Basic features such as diabetes prediction and personalized analytics are functional.

3. Potential
3.1. Unique Value Proposition: Unlike glucometers (which are invasive and costly) and urine dipsticks (which have low sensitivity of 18%-74%), Wo’tosuga offers non-invasive, scalable, and accessible diabetes screening, alongside education and research integration.
3.2. Preliminary Feedback: 24 respondents have provided positive feedback, with 100% expressing a desire for the app to be deployed widely, and 75% satisfied with the predicted results.

4. Pathway to Implementation
4.1 Pilot Deployment (2025)
- Launch pilot programs in Nigeria, focusing on both urban and rural healthcare settings.
- Provide glucometers as a validation tool during the initial rollout phase.
4.2. Partnerships: Collaborate with research institutions, healthcare organizations, and non-profits to collect data and improve the model.
4.3. Scaling Up (2026)
- Refine and improve the model with data collected during pilot phase.
- Add new features, including: a diabetes health chatbot, user profiles, integration of online consultations with healthcare professionals, calorie checker and diet recommendation system.
- Expand to other African regions.