A Nutritional Recommendation Expert System for Ailing Human

A nutritional recommendation expert system for ailing human is an expert system that diagnoses, controls and monitors human nutrition. Its aim is to assess human nutritional health in order to provide medical advice and recommend healthy nutritional habits for the users. The system has a user-friendly interface through which the users can provide their personal health information. Based on this information, the system assesses their health status and gives them medical guidelines as well as recommends appropriate dietary habit to promote their healthy living. The methodology adopted for this work was the structured systems analysis and design methodology and the system was developed using MySQL, CSS and HTML. This system is very helpful to health clinics, fitness centers, educational institutions and dieticians.

Authors

Publication Details

Journal
International journal of research and scientific innovation
Published
2025-01-01
DOI
https://doi.org/10.51244/ijrsi.2025.121500066p
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
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article

A Nutritional Recommendation Expert System for Ailing Human

Uchefuna Charles Ikenna, Oluchukwu Uzoamaka Ekwealor, Evelyn Ogochukwu Ezuruka, Chiemeka Prince Chukwudum
International journal of research and scientific innovation
Recommender Systems and Techniques
article

A Nutritional Recommendation Expert System for Ailing Human

Uchefuna Charles Ikenna, Oluchukwu Uzoamaka Ekwealor, Evelyn Ogochukwu Ezuruka, Chiemeka Prince Chukwudum
article en

Abstract

A nutritional recommendation expert system for ailing human is an expert system that diagnoses, controls and monitors human nutrition. Its aim is to assess human nutritional health in order to provide medical advice and recommend healthy nutritional habits for the users. The system has a user-friendly interface through which the users can provide their personal health information. Based on this information, the system assesses their health status and gives them medical guidelines as well as recommends appropriate dietary habit to promote their healthy living. The methodology adopted for this work was the structured systems analysis and design methodology and the system was developed using MySQL, CSS and HTML. This system is very helpful to health clinics, fitness centers, educational institutions and dieticians.

International journal of research and scientific innovationVol. XII(XV)
Openalex Percentile: Top 86%
Recommender Systems and Techniques
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