ML Enabled Food Recommendations For People With Special Dietary Needs

世界卫生组织(WHO)估计，全球有3%-7%的人患有食物过敏，相当于2.2亿-5亿人。该项目旨在通过将机器学习技术应用于特定领域的知识图谱，帮助对食物过敏、不耐受和有特殊饮食偏好的人决定外出就餐时吃什么。该项目将与曼彻斯特大学合作，创造颠覆性技术，以支持有特殊饮食需求的人的决策，同时提高透明度、信任并降低食品店的食品安全风险。该项目的成果将有助于测试解决方案的“可行性”，并通过与目标人群共同设计、构建和测试技术来降低早期研发的风险。为合作伙伴未来的研究和投资起到催化剂的作用。这一长期潜力将通过云、移动和物联网技术，通过个性化营养和行为改变来改善健康和福祉，从而对英国经济产生重大影响。此外，通过影响驱动型风险投资公司的大量投资，将技术出口到全球范围。

The World Health Organisation (WHO) estimates 3%-7% suffer from a food allergy globally which translates to 220-500 million people. This project aims to aid food allergic, intolerant and people with special dietary preferences in deciding what to eat when eating out by applying machine learning techniques to a domain-specific knowledge graph. In collaboration with The University of Manchester, this project will create disruptive technology to support decision making for people with special dietary needs, along with increasing transparency, trust and reducing food safety risk at food outlets. The outputs of the project will help to test the 'feasibility' of the solution and de-risk early-stage R&D by co-designing, building and testing the technology with the target demographic. Acting as a catalyst for future research and investment for the partners involved. The long-term potential will have a significant impact on the UK economy by improving health and wellbeing through personalised nutrition and behaviour change, via cloud, mobile and IoT technologies. Additionally, exporting the technology to a global scale from significant investment from impact-driven venture capital firms.