Food information for people with diabetes.
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Updated
Oct 21, 2025 - Vue
Food information for people with diabetes.
MCP server providing tools to access EFSA's comprehensive OpenFoodTox Chemical Hazards in food dataset
🍽️ SFPPy - Python Framework for Food Contact Compliance and Risk Assessment🍏⏩🍎
e, access E numbers from terminal.
"Rotten Food Detection System" is an innovative system based on Arduino and gas sensors, designed to detect and alert users about food spoilage, ensuring food safety and reducing waste.
Ultra-fast SNP/indel-level distance calculator for core genome MLST analysis in bacterial genomics
A solution for food safety using Blockchain to store various informations about the products related to every phase of the Supply chain (Origin, temperature, transport, storage...etc)
Publication of the Open Government Data of the Swiss Federal Food Safety and Veterinary Office (FSVO)
Group project to help people up to date on the lates food recalls in the states
Eeee? Access E codes from Gretea.
🍕 Enterprise AI-powered Pizza Store Hygiene Monitoring System with Real-time Violation Detection using YOLO, FastAPI, and Microservices Architecture
A user-friendly interface for the bioinactivation package
SaveServe is a food waste reduction web platform that safely redistributes surplus cooked food from restaurants to nearby individuals and NGOs using time-controlled listings, role-based dashboards, and food safety compliance.
This repository contains Python scripts used for data manipulation and visualization in the manuscript: Proteomic insights into Novel Food Insects: Homology-based proteome characterization and allergenicity considerations for EU-regulated insect species. Meisinger et al., Food Control, 2025
IoT-based food spoilage detection system designed to ensure food safety and minimize waste.
Research Project
Deep learning (CNN) mushroom classifier using ResNet architecture to distinguish edible boletes from bitter species for food safety. Complete ML pipeline (Pytorch) from data acquisition to inference.
Developed a system that keeps track of the product quality and other factors throughout the supply chain by using Blockchain technology
2nd Place winner at IOT & Security Blockchain Hackathon #T-LabsHACK @create33 in Seattle
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