foodbud.ai platform is a state-of-the-art platform that gamifies the experience of logging information on food habits, dietary preferences, food allergies and health goals and then combines it using machine learning to provide hyper personalised and curated food recommendations to its users. These food recommendations can be categorised into three main segments: grocery food, restaurants dishes and new recipes for self-cooking. Consumers are becoming more aware of “free from” and clean labels and are exploring ways to integrate such products into their lifestyle. This requires for them to try out new products that also suit their taste buds. UK consumers are hesitant to try out new products and need some validation either in the form of online reviews or recommendations by friends or family, which makes them miss out several products that they would have liked more than what they are currently consuming. Although the idea is extremely broad and useful for everyone, the beachhead market for this platform are people who suffer from some form of food allergy or have strict dietary preferences and find it extremely difficult to navigate their food choices. A service of this kind can really help them identify new foods that are more relevant to them and perfectly align with their needs.
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