🍎 Food AI Nexus

Food AI Nexus is an open science initiative led by Cornell University, with dataset contributions from researchers at Virginia Tech and Michigan State University. Our mission is to curate and host high-quality, publicly available datasets and models dedicated to solving critical challenges in food safety and public health.

🎯 Our Goals

• Data Curation: Centralizing diverse datasets—from supply chain risk prediction to bacterial detection—to bridge the gap between food science and machine learning.
• Model Innovation: Advancing the development of specialized algorithms and predictive models tailored for food safety domain.
• Interdisciplinary Collaboration: Stimulating partnerships between data scientists, food safety researchers, and industry professionals.

🤝 Get Involved

• We welcome contributions from researchers and developers worldwide.
• Reach out to Luke Qian (cq87@cornell.edu) to become a contributor or to share your food safety datasets.