Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/148167
|El chatbot culinario
|Andrade Nóbrega, Susana José
|Universitat Oberta de Catalunya (UOC)
|According to the WHO, childhood and juvenile obesity in Spain is 14.2%  and in adults, one in five suffers from obesity . In addition, there is evidence of an increase in the lack of healthy and balanced eating practices in society, as a consequence of lifestyle, lack of motivation and time constraints. To address this issue, it is proposed to develop a chatbot that promotes balanced and healthy eating. Unlike existing applications, it seeks to provide a more personalized experience to the user, through a real-time conversation. The chatbot will be able to assist the user in meal planning, considering their food preferences, and provide nutritional information on recipes and food. The development of the chatbot involves different stages: analysis, design, development, implementation and testing. During analysis and design, the chatbot use cases and intentions are defined. Through specific natural language processing and machine learning libraries in Python, a system capable of identifying patterns in a data set of intentions to make predictions is built. As a result, a chatbot is obtained that, through a trained neural network and the identified intentions, has the ability to predict the user's intention and provide one of the predefined answers, complemented with information from the database. It is possible that some intentions are incorrectly predicted due to the similarity of the data, when there are common elements in the different intentions.
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|Bachelor thesis, research projects, etc.
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|Presentación del TFG
|Memoria del TFG