INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY
In the realm of health and wellness, the integration of data-driven technology and artificial intelligence (AI) has opened up new possibilities for personalized and data-driven approaches. HN-Assistant, a software application designed to analyze an individual's nutritional state and pr...
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| Format: | Article |
| Language: | English |
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Technical University of Moldova
2024-09-01
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| Series: | Journal of Engineering Science (Chişinău) |
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| Online Access: | https://press.utm.md/index.php/jes/article/view/2024-31-3-07/07-pdf |
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| author | IAPĂSCURTĂ, Victor ȚURCANU, Dinu SIMINIUC, Rodica |
| author_facet | IAPĂSCURTĂ, Victor ȚURCANU, Dinu SIMINIUC, Rodica |
| author_sort | IAPĂSCURTĂ, Victor |
| collection | DOAJ |
| description | In the realm of health and wellness, the integration of data-driven technology and artificial intelligence (AI) has opened up new possibilities for personalized and data-driven approaches. HN-Assistant, a software application designed to analyze an individual's nutritional state and provide tailored recommendations, offers a powerful tool for promoting healthy eating habits. The HN-Assistant can also analyze how good a food product is at covering the estimated nutrient requirements. However, when combined with the capabilities of advanced AI assistants based on LLMs, the potential for comprehensive and insightful nutritional guidance is taken to new heights. This paper describes an attempt at integrating the proprietary software application HN-Assistant with GPT-4o to empower final users to make better nutritional decisions. The application was built in R programming language using the Shiny package, and the interaction between HN-Assistant and GPT-4o is based on an API in Python. |
| format | Article |
| id | doaj-art-e5a99299eb804b75b771033dd82b1eda |
| institution | Kabale University |
| issn | 2587-3474 2587-3482 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Technical University of Moldova |
| record_format | Article |
| series | Journal of Engineering Science (Chişinău) |
| spelling | doaj-art-e5a99299eb804b75b771033dd82b1eda2025-01-31T07:56:59ZengTechnical University of MoldovaJournal of Engineering Science (Chişinău)2587-34742587-34822024-09-01XXXI37584https://doi.org/10.52326/jes.utm.2024.31(3).07INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDYIAPĂSCURTĂ, Victor0https://orcid.org/0000-0002-4540-7045ȚURCANU, Dinu1https://orcid.org/0000-0001-5540-4246SIMINIUC, Rodica2https://orcid.org/0000-0003-4257-1840Technical University of Moldova, 168 Ștefan cel Mare Blvd., Chisinau, Republic of Moldova; N. Testemitanu University of Medicine and Pharmacy, 165 Ștefan cel Mare Blvd, Chisinau, Republic of MoldovaTechnical University of Moldova, 168 Ștefan cel Mare Blvd., Chisinau, Republic of MoldovaTechnical University of Moldova, 168 Ștefan cel Mare Blvd., Chisinau, Republic of MoldovaIn the realm of health and wellness, the integration of data-driven technology and artificial intelligence (AI) has opened up new possibilities for personalized and data-driven approaches. HN-Assistant, a software application designed to analyze an individual's nutritional state and provide tailored recommendations, offers a powerful tool for promoting healthy eating habits. The HN-Assistant can also analyze how good a food product is at covering the estimated nutrient requirements. However, when combined with the capabilities of advanced AI assistants based on LLMs, the potential for comprehensive and insightful nutritional guidance is taken to new heights. This paper describes an attempt at integrating the proprietary software application HN-Assistant with GPT-4o to empower final users to make better nutritional decisions. The application was built in R programming language using the Shiny package, and the interaction between HN-Assistant and GPT-4o is based on an API in Python.https://press.utm.md/index.php/jes/article/view/2024-31-3-07/07-pdfsoftware applicationdata-driven analyticsnutritionartificial intelligencelarge language model |
| spellingShingle | IAPĂSCURTĂ, Victor ȚURCANU, Dinu SIMINIUC, Rodica INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY Journal of Engineering Science (Chişinău) software application data-driven analytics nutrition artificial intelligence large language model |
| title | INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY |
| title_full | INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY |
| title_fullStr | INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY |
| title_full_unstemmed | INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY |
| title_short | INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY |
| title_sort | integration of a data driven software application and a multimodal large language model for enhanced nutritional guidance a case study |
| topic | software application data-driven analytics nutrition artificial intelligence large language model |
| url | https://press.utm.md/index.php/jes/article/view/2024-31-3-07/07-pdf |
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