Tech Stack
Description
Engineered a cross-platform mobile application using Flutter to instantly analyze complex food nutrition labels through advanced Optical Character Recognition (OCR).
Integrated the Google Gemini 1.5-Pro API to autonomously extract core nutritional factors (like protein, dietary fiber, sodium, and sugars) and accurately detect potentially harmful artificial additives (e.g., MSG, BHA, specific preservatives).
Designed a proprietary algorithm mirroring European health standards to dynamically calculate a comprehensive 'Nutri-Score' (ranging from A to E) based on positive vs. negative caloric inputs.
Showcased high-risk ingredient severity parameters, offering consumers detailed explanations of health risks and delivering immediate, intuitive consumption frequency advice.
- Leveraged Google Gemini 1.5-Pro for reliable food label extraction and additive identification.
- Developed a custom algorithm to programmatically calculate A-E Nutri-Score health grades.
- Implemented categorized ingredient warnings mapping severity levels (low, medium, high) to specific health risks.
- Architected a responsive Flutter UI equipped with device camera integrations and dynamic analysis tabs.
Page Info
App Interface
App showing NutriScore analysis and ingredient warnings.
