Novel use of Machine Learning to prevent consumer injuries and product recalls resulting from errors in food supply-chain data

食物过敏发生时，你的免疫系统反应无害的食物蛋白质，这往往是由于创建免疫球蛋白E（IgE）抗体是特定的特定蛋白质。当蛋白质被消耗时，抗体识别蛋白质并与其连接，导致组胺等物质的释放，这将导致过敏症状。立即反应（在食用食物后两小时内），通常涉及IgE抗体，并出现典型症状，如发痒的皮疹，肿胀，在某些情况下呕吐和腹泻。症状的严重程度各不相同，在最坏的情况下，可能会导致危及生命的问题，包括呼吸困难和虚脱，也称为过敏反应。LiberEat提供唯一的数字资源，提供产品扫描，产品过滤，菜单过滤和食谱库都在一个地方。我们允许多个配置文件，这有助于用户通过我们的应用程序确切地看到谁可以吃每种产品，菜肴和食谱。我们确保我们的数据来自可靠的来源，我们从不筛选刮，我们只与直接提供信息的合作伙伴餐厅合作。LiberEat最近被评为Tech Nation Rising Stars 3.0 Scotland and UK Competitions的获奖者，并入选Tech Nation的应用AI计划。该项目现在将增加检测申报过敏原差异的能力，识别错误风险较高的情况，并允许我们的过敏原识别技术集成到供应商过敏原管理系统中。这项技术将成为一个至关重要的安全网，以捕捉我们从经验中知道的人为错误。该提案已得到几家食品服务连锁店和食品生产商的验证，其中一些将参与项目期间的测试。

Food allergies occur when your immune system reacts to a harmless food protein, which are often due to the creation of Immunoglobulin E (IgE) antibodies which are specific for that particular protein. When the protein is consumed, the antibodies recognise the protein and link to it, causing the release of substances such as histamine, which will result in allergic symptoms. An immediate reaction (within two hours of eating the food), usually involves IgE antibodies, and the development of classic symptoms such as an itchy rash, swelling and in some cases vomiting and diarrhoea. Symptoms can vary in severity and can, in the worst case, lead to life threatening problems including difficulty in breathing and collapse, also known as anaphylaxis.LiberEat provides the only digital resource to offer product scanning, product filtering, menu filtering, and a recipe bank all in one place. We allow multiple profiles, which helps users to see exactly who can eat every product, dish and recipe via our app. We ensure our data comes from reliable sources and we never screen scrape, we only work with partner restaurants who give us the information directly. LiberEat was recently named as a winner of the Tech Nation Rising Stars 3.0 Scotland and UK Competitions and selected for Tech Nation's applied AI program.This project will now add the ability to detect discrepancies in declared allergens, identify situations where there is a higher risk of errors, and allow our allergen identification technology to be integrated into supplier allergen management systems. The technology will become a vital safety net to catch the mistakes we know from experience are being made through human error. The proposal has been validated by several food service chains and food producers, a number of which will be involved in testing during the project.