Cooking and Food Information Chatbot System using GPT-3

This study explored the development and implementation of chatbots for informing healthy eating and addressing dietary concerns. The research problem addressed is the lack of nutritional understanding and unhealthy eating patterns among individuals, which can lead to various health issues. The study discusses the development of a chatbot called CookPal, which leverages the GPT-3 model by OpenAI to provide personalized recommendations and information about food preparation or selection that can lead users toward healthy eating habits. The study highlights the potential of chatbots in providing information about cooking and food choices. Qualitative research was adopted as an iterative approach that led to an enhanced comprehension within the scientific community by making noteworthy observations. User acceptance testing was conducted to evaluate the Chatbot’s performance, with participants providing feedback on satisfaction, relevance of responses, and usability. The results showed a high level of accuracy from the Chatbot based on User Acceptance Test, with as much as $86\%$ of the average total accuracy of all testing scenario sessions and positive user feedback with a value of 4.5 out of 5 in a scalar size of 1 to 5. Overall, this research provided valuable insight into the potential of chatbot technology in promoting healthy eating and addressing dietary concerns. The study’s findings emphasize the growing importance of integrating computer science advancements, such as $AI$ and sophisticated language models, into health and nutrition to benefit individuals in making informed and healthier lifestyle choices.