AfyaConnect

Inspiration

In Kenya, language barriers often turn critical healthcare into a game of chance. Witnessing vulnerable patients struggle to articulate emergencies in crowded community triage spaces inspired us to close this divide. We envisioned an intelligent ecosystem that honors local communication realities—ensuring language preference never acts as a barrier to life-saving clinical priority dispatch.

What We Learned

Developing AfyaConnect taught us the vital impact of localized tech. We discovered that building predictive features, like our no-show regression modeling, requires a deep understanding of structural barriers like transit proximity. Real-world impact happens when advanced natural language processing intersects directly with immediate community outreach needs.

How We Built It

We engineered a robust, mobile-first web architecture leveraging a React frontend paired with a dynamic client-side router. For a cohesive healthcare presentation, we tailored a unified layout built on a customized Tailwind CSS medical palette. The application integrates mock analytical datasets that dynamically feed our custom stats cards, an interactive clinical priority roster, and real-time English and Swahili SMS alert simulation modules.

Challenges We Faced

Our biggest hurdle was handling data validation blocks without active database endpoints running locally on the presentation floor. We tackled this by completely engineering mock data vectors directly into the state components. This bypassed broken server hooks and created an insulated, highly responsive simulation environment perfect for live demonstrations.

Built With

• html
• javascript
• react
• tailwind