Uses iOS 11 and Apple's CoreML to add nutrition data to your food diary based on pictures. CoreML is used for the image recognition (Inceptionv3). Alamofire (with CocoaPods) is used for REST requests against the Nutritionix-API for nutrition data.

Slimmom Backend API is a secure and scalable RESTful service for nutrition and wellness apps. It provides user authentication, personalized calorie calculations, daily food diaries, and product management. Built with Node.js, Express, and MongoDB, it features JWT authentication and detailed API docs with Swagger and Redoc.

Сalorie counter, food diary

A privacy-first, offline-ready IBS tracker featuring AI voice logging and local-first architecture. Built with Next.js 16 and Dexie.js.

A lighthearted yet effective nutrition tracking app that uses AI to analyze your food

Record causes and events into a google spreadsheet in your google drive

Backend of food diary application

Frontend of food diary application

Source code for the data analysis and models accompanying the paper: "Non-Binary Evaluation of Next-Basket Food Recommendation" (published in User Modeling and User-Adapted Interaction, 2024). This repository implements novel non-binary evaluation metrics and recommender models for food recommendation.

Food diary connected with disease-specific symptoms. Main purpose is to find out, which symptoms co-occur with specific food.

Webite that helps keep track of the food, simple and easy: https://hhharm.github.io/food-diary/

Intuitive calorie counting app.

Food diary