Predictive Analysis of position specific nutritional requirements in youth players using machine learning and data science techniques

Registration ID: IJNRD_204787

Published ID: IJNRD2309067

DOI: Click Here to Get

Aditya Nema

Soccer, Adolescent players, Machine Learning, Data Science Technology, Nutritional requirements, diet plans, playing position

Aspiring young soccer players have a unique set of nutritional requirements owing to the sport being a high energy expenditure nature game as well as accelerated growth of players at this age. Soccer is still an emerging sport in India, and oftentimes those who belong to economically weaker sections of society do not have accessibility to professional guidance for appropriate nutrition management. However, with the improvement in technology, along with increased accessibility and affordability of internet in most parts of the country it is possible to make this nutritional knowledge easily accessible to young players through the internet. Recent advancement in machine learning and data science technology has great potential to bridge this knowledge gap. The purpose of this study is to assess the feasibility of using machine learning and data science techniques in predicting nutritional requirements of young players customized to their playing position and to equip them with information regarding their caloric requirements from each source. The predictive capabilities of machine learning can be further used to empower players by identifying their nutritional deficiencies and recommending supplements or diet plans for their recovery as per their playing positions and metabolic requirements.

Published Paper   E-Certificate

Aditya Nema (September-2023). Predictive Analysis of position specific nutritional requirements in youth players using machine learning and data science techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), a547-a566. https://ijnrd.org/papers/IJNRD2309067.pdf

Volume 8 Issue 9, September-2023

Pages : a547-a566

Paper Reg. ID: IJNRD_204787

Published Paper Id: IJNRD2309067

Downloads: 000121979

Research Area: Health Science 

Country: Jabalpur, Madhya Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309067.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309067

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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