🚀 GluDaily: Smarter glucose. Smarter meals. Smarter health.
Inspiration
Diabetes management is overwhelming, especially for those in low-income, rural areas where education, time, and access are barriers to proper care. Even with CGMs and insulin, many diabetics struggle to know what to eat and don’t want to deal with the hassle of tracking glucose manually.
We wanted to eliminate the effort—no manual logging, no food research—just effortless AI-driven glucose & meal management.
What It Does
🔹 Real-Time Glucose Monitoring – Integrates with CGMs (or manual input)
🔹 AI-Powered Meal Recommendations – Chatbot suggests meals based on glucose trends
🔹 Glucose Forecasting with ML – Predicts future blood sugar impact of meals
🔹 Voice-Activated Assistance – No typing, just talk to the chatbot
🔹 Smart Alerts & Notifications – Push notifications for glucose spikes & meal timing
How We Built It
🔹 Backend: FastAPI + WebSockets for real-time monitoring
🔹 Machine Learning: Transformers for time-series glucose forecasting
🔹 LLM Agent: OpenAI-powered chatbot that suggests meals & calculates macros
🔹 Frontend: Expo (React Native) mobile app with a conversational UI
🔹 Data Processing: Memory-mapped glucose dataset loader for fast access
Challenges We Ran Into
🔹 Time-Series Complexity: CGM readings are irregularly spaced, making forecasting harder
🔹 Food Decision Fatigue: Users need realistic, culturally appropriate meals
🔹 Market Entry Strategy: Government contracts take too long—so where do we start?
Accomplishments That We're Proud Of
✅ Effortless, AI-Powered Diabetes Management—No need for manual tracking
✅ Agentic Workflow: ML model + chatbot = personalized glucose insights
✅ Prototype That Works! – Real-time CGM data + meal suggestions in the app
✅ Investor-Ready Business Model – Private insurers will pay for AI-powered prevention
What We Learned
🔹 Rural diabetics need zero-effort solutions. They won’t engage if it’s too hard.
🔹 Healthcare AI needs trust & transparency. Explainability is key.
🔹 Government contracts are slow. Private insurers & telehealth companies are faster partners.
What’s Next for GluDaily?
🚀 Clinical validation – Partnering with hospitals & diabetes researchers
🚀 Expanding CGM Integration – Dexcom, Abbott, Medtronic APIs
🚀 DTC + Insurer Partnerships – Faster go-to-market via private insurance plans
🚀 Conversational UI Improvements – Voice-activated chatbot for true hands-free diabetes care
GluDaily isn’t just a tracker—it’s your AI-powered diabetes companion. 🚀
This tightens the pitch while emphasizing:
- Automation & effortless engagement (key for winning the hackathon)
- Technical innovation (LLM + ML)
- Scalability & monetization strategy
Would you like me to refine this further for specific pitch slides? 🚀
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