MyFoodRepo

Before MyFoodRepo, dietary tracking faced significant challenges in the research field. Food logging was manual and very time-consuming, and prone to inaccuracy, leading to inconsistent data. Existing apps provided limited nutritional information, focusing mainly on calories without detailed micronutrient breakdowns, not precise enough for medical studies.

User engagement and retention were low due to the tedious nature of manual entry. Users had to write down everything manually. Data from these apps rarely contributed to broader nutritional research due to privacy concerns that limited user participation.

MyFoodRepo solves these issues by using AI for photo-based food logging, reducing the time and effort required for accurate tracking. Participants need to be part of a cohort, then they can just open the app and upload a photo of their food in a few taps. Within seconds, the app provides a detailed nutritional analysis of the dish. The app contributes anonymised data to nutritional research while ensuring users’ privacy.

MyFoodRepo stands out for its advanced use of AI, commitment to nutritional research, and user-friendly interface. These combined elements make it an innovative and pioneering application in the field of dietary tracking and public health.

The app is now publicly available, making food tracking easier than ever. Just snap a photo and get instant recognition with detailed nutritional analysis in seconds. Visual graphs help you track diet patterns over time: simple, fast, and effective.

AI to identify meal photos

The latest update of the app MyFoodRepo stands out through its innovative use of artificial intelligence (AI) to automatically recognise and classify foods from meal photos, significantly simplifying tracking for users.

Granular data collection

MyFoodRepo enables large-scale and highly detailed data collection on food consumption, which is valuable for nutritional and public health research. The collected data includes information on the types of foods consumed, quantities, frequencies, etc.
Nutrition awareness: By making nutrition more accessible and understandable to the general public, MyFoodRepo plays an important role in food education and promoting healthier lifestyles.

Anonymisation and Data Protection

The app does not collect any personal data - not even name or email address -, allowing it to be used for research while protecting user privacy. This ethical approach to data collection and usage is crucial for user trust and research applicability.

User-Friendly Interface

The application is designed to be easy to use, encouraging users to document their meals regularly. An intuitive interface and motivating features like AI chatbot assistance enhance user engagement.

Instant Feedback

By providing instant and accurate nutritional information based on meal photos, MyFoodRepo helps users better understand the impact of their food choices in real time, potentially encouraging healthier habits.

MyFoodRepo distinguishes itself with advanced functionalities that surpass typical dietary tracking apps. Key features include:

1. Photo-based Food Logging with AI
   Utilises foundational AI models for recognising and classifying foods from photos, simplifying the logging process and improving accuracy through continuous learning.

2. Detailed Nutritional Analysis
   Provides a comprehensive breakdown of macronutrients and micronutrients, that help users make informed dietary choices.

3. AI assistance
   The use of large language models, combined with the collected data, allow the app to have discussions about users’ nutrition.

4. Integration with Research
   Collects anonymous data for nutritional research, contributing to public health studies and improving dietary guidelines.

These innovative functionalities make MyFoodRepo a powerful tool for personal health management and contribute significantly to broader research and public health goals.

The food images shown on this page were generated using artificial intelligence.