Abstract: A method, computer system, and a computer program product for personalized voice responses is provided. The present invention may include gathering a plurality of user data from an Internet of Things (IoT) connected sensor. The present invention may include identifying a personalized vocabulary based on the gathered plurality of user data. The present invention may include training a voice response system based on the gathered plurality of user data and the identified personalized vocabulary. The present invention may include receiving a verbal request. The present invention may include responding to the received verbal request using the trained voice response system.

Abstract: In an approach to mature a knowledge corpus using artificial intelligence (AI) and user collaboration, embodiments create, by an AI response system, a knowledge corpus based on retrieved data associated with a first user. Additionally, embodiments execute, by the AI response system, a search to locate one or more matching knowledge corpora based on a request of the first user, and identify, by an anonymous network, at least one cluster of one or more anonymous second users having respective search requests that substantially match the search request of the first user. Furthermore, embodiments execute an AI exchange between the identified one or more anonymous second users and the first user, and mature the knowledge corpus, via the AI response system, based on the AI exchange between the first user and the identified one or more anonymous second users.

Abstract: In an approach to mature a knowledge corpus using artificial intelligence (AI) and user collaboration, embodiments create, by an AI response system, a knowledge corpus based on retrieved data associated with a first user. Additionally, embodiments execute, by the AI response system, a search to locate one or more matching knowledge corpora based on a request of the first user, and identify, by an anonymous network, at least one cluster of one or more anonymous second users having respective search requests that substantially match the search request of the first user. Furthermore, embodiments execute an AI exchange between the identified one or more anonymous second users and the first user, and mature the knowledge corpus, via the AI response system, based on the AI exchange between the first user and the identified one or more anonymous second users.

Abstract: A method, computer system, and a computer program product for voice responses is provided. The present invention may include gathering user data from at least one connected device. The present invention may include training a voice response system based on the gathered user data. The present invention may include identifying a wakeup signal based on the trained voice response system. The present invention may include determining that user engagement is intended based on identifying the wakeup signal. The present invention may include engaging with the user through the at least one connected device.

Abstract: A method, computer system, and a computer program product for personalized voice responses is provided. The present invention may include gathering a plurality of user data from an Internet of Things (IoT) connected sensor. The present invention may include identifying a personalized vocabulary based on the gathered plurality of user data. The present invention may include training a voice response system based on the gathered plurality of user data and the identified personalized vocabulary. The present invention may include receiving a verbal request. The present invention may include responding to the received verbal request using the trained voice response system.

Abstract: In an approach to recommending actions for avoiding food intolerance, one or more computer processors receive data, where the received data includes data associated with a food item viewed by a first user, data associated with the first user, and data associated with an environment of the first user. One or more computer processors determine a health condition of the first user. One or more computer processors predict a first food intolerance reaction of the first user to the viewed food item based on the received data and the determined health condition. One or more computer processors determine a first action recommendation for the first user corresponding to the first predicted food intolerance reaction. One or more computer processors determine a first action recommendation for the first user corresponding to the first predicted food intolerance reaction. One or more computer processors present the first action recommendation to the first user.