About this idea
Modern consumers are more health-conscious than ever, yet most nutrition apps rely on generic calorie targets, outdated formulas, or unverified advice. Our solution transforms nutrition guidance by combining evidence-based science with personalized AI interaction. Our app provides users with scientifically grounded evaluations of their diet, lifestyle, and health goals. Instead of one size fits all recommendations, it uses validated frameworks such as the HEI (Healthy Eating Index), micronutrient intake standards, and established dietary research to deliver accurate, individualized insights. Users receive clear explanations of their nutritional strengths, deficiencies, and risk areas, all supported by peer-reviewed science. The differentiator is our integrated large language model, designed specifically for nutrition and behavior change. Users can interact conversationally with the AI to ask questions, explore meal options, troubleshoot habits, and receive real-time guidance that adapts to their preferences, restrictions, and goals. The LLM works in harmony with the scientific engine, ensuring every suggestion is biologically plausible, research-aligned, and tailored to the user’s biometric and dietary data. Over time, the app builds a dynamic nutrition profile that evolves as users log meals, track symptoms, adjust goals, and integrate data from wearables and eventually EHR. This enables continuous, personalized feedback helping people not only understand what to change, but why it matters. The main goal of the app is to empower people with accurate, personalized, and science-backed nutrition guidance, enhanced by intelligent, conversational AI. This is the future of health optimization precise, accessible, and uniquely tailored to every user.
Impact
Many people struggle to understand their own health. Medical notes are often filled with unfamiliar terminology, nutrition advice is scattered and inconsistent, and most individuals lack the knowledge to interpret their dietary habits or recognize micronutrient deficiencies. As a result, people are left guessing about what their body needs or why they feel a certain way. BioFuel AI is designed to solve this gap. Our goal is to make health education accessible, personalized, and science-based. BioFuel AI analyzes a user’s dietary patterns, lifestyle habits, and medical feedback—translating complex information into clear, actionable insights anyone can understand. Instead of generic advice, users receive guidance grounded in validated nutritional science and tailored to their unique needs. The platform leverages an integrated LLM to create a conversational experience, allowing users to ask questions in real time, explore concerns, and receive personalized explanations. Whether they want to understand a lab result, improve their daily nutrition, or address potential nutrient gaps, BioFuel AI empowers them with clarity—not confusion. By breaking down medical jargon, identifying deficiencies, and offering precise dietary strategies, BioFuel AI gives people the tools to take control of their own health. Our mission is simple: help individuals make informed decisions about their bodies through accurate, research-backed, and easy-to-understand nutritional guidance. BioFuel AI turns information into empowerment—so users can fuel their lives with confidence, clarity, and better health.
What I'll do with $5,000
This funds the creation of the evidence-based analysis system that evaluates user diet quality, micronutrient adequacy, and potential risk factors using established research frameworks. LLM Fine-Tuning & Safety Layer – $1,200 This supports training a small, domain-specific AI model on verified nutrition and health education sources, plus implementing guardrails to ensure accurate, safe responses. This allows the AI to translate medical notes, explain health risks, and give personalized guidance. UI/UX Prototype & Interactive Features – $800 Funds go toward building a user-friendly interface where people can log meals, input lifestyle data, and interact with the AI. This prototype will be used for user testing and demonstrating product viability. Wearable & Health Data Integrations – $700 This covers initial APIs for step count, sleep, and heart rate data, enabling more precise health insights. Pilot Testing & User Feedback – $800 This includes participant incentives, survey tools, and iterative improvements based on real-world testing.
Quick Bio
My name is Aiden Brueggeman, I am currently a studying computer science at Grand Valley State University. My goal is to provide people with more power over their health through technology and medicine
Links
  • This Registration is for voting only.

  • Use this form to register to vote. In order to submit, you'll need to follow the process starting here.
  •  
    Strength indicator
  •  
  •  

This will close in 0 seconds