USDA FDC API for high-fidelity data ingestion and Supabase for temporal storage, utilizing GitHub Actions to orchestrate bi-weekly variance analysis and automated garbage collection.

iOS app with optimized meal recommendations to help users meet dietary goals before eating

AI-powered web app to detect foods from images using AWS Rekognition and estimate calories via the USDA API. Built with HTML, CSS, and JS — fully client-side with no backend.

iOS nutrition tracker: search the USDA food database, log meals, track macros, save favorites, and set daily goals.

An Android app that lets you quickly search and view the nutritional values of any food.

Upload a food photo, get the calories. AI-powered tracker with BMI calculator, meal-wise logging & personalized daily goals. PHP + Python + MySQL.

Python MCP server for USDA nutrition data with meal planning system prompts. Get accurate macros, calories, and ingredients for any food item directly in Claude Desktop. Includes automated meal planner for diet-specific recipes.

An AI-powered hybrid meal recommendation engine designed to provide safe, personalized, and gluten-aware recipes. This system combines deterministic rule-based auditing with dynamic API verification and generative AI analysis to ensure celiac-safe meal planning.

AI-powered recipe generator that creates personalized healthy meals from your available ingredients with complete nutritional analysis. Built with Streamlit, Groq AI, and USDA data.

Pip's Kitchen Garden — A kid-friendly iOS game where children grow veggies, cook recipes through mini-games, and learn nutrition science with Pip the Hedgehog. Built with SwiftUI, SwiftData, CloudKit, WeatherKit, USDA FoodData Central API, and on-device AI.