Volume -I , Issue -XII, August 2015

ARTIFICIAL INTELLIGENCE AND DIETICIAN

Author(s) :

Domal PratibhaArvind , Gajul Hiralal Murlidhar , Domal Vishal Arvind and Inamdar Firdos Hamid

Abstract

As people across the globe are becoming more interested in watching their weight, eating more healthy food and avoiding junk food, a system that can measure calories and nutrition in every day meals can be very useful for maintaining our health. Food calorie and nutrition measurement system is very beneficial for dietitians and patients to measure and manage the daily food intake [2].The proposed system is a responsive website which contains the knowledge and data regarding the fitness of a person. We also referred data required to develop the website, from gym exercise book which makes the website a unique one. This website consist the user interface which will be publically displayed on the website i.e. the basic information regarding the fitness such as how to maintain good health by doing some workouts and by eating some food products which includes calories, proteins and carbohydrates etc. Also contains user login such as Admin and User. Artificial Intelligence andDietician paper abstract will give overview on modules developed in this website.

Keywords

Calorie measurement, Workouts.

References
  1. Intention-Based Walking Support for Paraplegia Patients with Robot Suit HAL, ISBN: 978-953-307-030-8, Kenta Suzuki1, Gouji Mito1, Hiroaki Kawamoto2, Yasuhisa Hasegawa1 and Yoshiyuki Sankai1
  2. The 8051 Microcontroller and Embedded Systems Using Assembly and C, ISBN 8131710262, 9788131710265, Mazidi and Mazidi
  3. Jul 10, 2014 - Measuring Calorie and Nutrition from Food Image by ParisaPouladzadeh, ShervinShirmohammadi AndRanaAlmaghrabi and ISSN: 0018-9456; INSPEC Accession Number: 14432032;
  4. SmartDiet: A personal diet consultant for healthy meal planning by Jen-Hao Hsiao IBM Res. Collaboratory, Taiwan Chang, H. and ISSN:1063-7125
  5. FOODS: A Food-Oriented Ontology-Driven System bySnae, C. Dept. of Comput. Sci. & Inf. Technol., Naresuan Univ., PhitsanulokBruckner, M.and E-ISBN : 978-1-4244-1490-1;Print ISBN: 978-1-4244-1489-5; INSPEC Accession Number: 10287294.
  6. A Wearable Ground Reaction Force Sensor System and Its Application to the Measurement of Extrinsic Gait Variability, ISSN 1424-8220, Tao Liu *, Yoshio Inoue and Kyoko Shibata.
  7. Raman spectroscopy for determining nutritional facts ByMoustakas, C. Dept. of Electr. &Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus Pitris, C. and E-ISBN : 978-1-4244-5379-5; Print ISBN: 978-1-4244-5379-5; INSPEC Accession Number: 11102584.
How to Cite this Paper? [APA Style]
Domal PratibhaArvind , Gajul Hiralal Murlidhar , Domal Vishal Arvind and Inamdar Firdos Hamid, (2015), ARTIFICIAL INTELLIGENCE AND DIETICIAN, Industrial Science Journal, http://industrialscience.org/Article.aspx?aid=78&vid=12, (August, 2015)
Full Text in PDF

Full Article in PDF Format

Comment on this article...!!!

 
 
 
Previous Comments...
No previous comments.

Archive

Alert Me...!!!

When new article publish, article link will mail to your mail...

Enter Your Name :
Enter Your Email ID :

For Authors

For Readers