This document describes a health-aware personalized food recommender system that aims to assist users in daily diet selection based on nutrition guidelines. The system will take a user's profile and food habits as input to calculate their body mass index and calorie needs, and provide personalized food recommendations and health information as output. It will use a nutrition database and recommend foods to meet protein, carbohydrate, and other nutrient requirements. The system will be developed as a mobile application using techniques like image processing and machine learning to help users maintain a healthy diet and calorie intake.

1. Health-aware Personalized Food Recommender System
The health-aware personalized food recommender system aims to assist the users in daily diet
selections based on some nutrition guidelines [1]. The main goal of this project is to develop a
food ontology and recommender system using Body Mass Index (BMI) [2], Basal Metabolic Rate
(BMR) [3], and Physical Activity Level [4]. This system will take user profile and food habit as
input, and provide health information and food suggestion as output. It will use nutrition database
while processing the recommendation. Alongside with, this application will also provide food
value of a specific food and find calories of specific food based on its shape and color.
Objectives:
Nowadays food, healthy eating have become central subjects in our daily life. Proper dietary habit
can generally promote good health. People of sub Asian region are not conscious about health.
They don’t have so much knowledge about their food habit. This application will suggest us how
to overcome our calorie in daily life to suggest different food based on various session. We will
make this as mobile application because smartphone apps are likely to be a useful and low-cost
intervention for improving diet and nutrition and addressing obesity in the general population.
There has been increasing attention to use of cell phone text messaging and smartphone
applications to promote healthy eating and support weight loss smartphone platforms have lowered
costs, reduce the burden to participants, and overcome some limitations of traditional in-person
behavioral weight loss programs.
Methodology:
This application collects information of a human being (like height, weight, age, sex and daily
physical activity). Then it will calculate the Body Mass Index (BMI) of that person, and also
compute calories requirement for that person. To fulfill the required nutrition, it will suggest the
food menu. This also suggests how much protein, starch, carbohydrate and which fruits or foods
need to be eaten to fulfill the calorie requirements. Following technology will be used in this
application.
1. Image Processing
2. Machine Learning
3. Mobile Application
4. Cloud GPI
Conclusion:
The application of recommender system to the food domain is emerging. We have implemented a
new system that allows users to balance their tastes and health. The described demo system will
be developed on the Android platform. Users can easily access the applications in a ubiquitous
way.

2. References:
[1] M. Ge, F. Ricci, and D. Massimo, “Health-aware food recommender system,” RecSys 2015
- Proc. 9th ACM Conf. Recomm. Syst., pp. 333–334, 2015.
[2] K. M. Flegal, D. Carroll, B. K. Kit, and C. L. Ogden, “Prevalence of obesity and trends in
the distribution of body mass index among US adults, 1999-2010,” JAMA - J. Am. Med.
Assoc., vol. 307, no. 5, pp. 491–497, 2012.
[3] J. Xiang, M. Wu, W. Cao, and P. Duan, “Multi-objective optimal control based on fuzzy
satisfying for sintering process,” Huagong Xuebao/CIESC J., vol. 61, no. 8, pp. 2138–
2143, 2010.
[4] DCCT TRIAL, “The New England Journal of Medicine Downloaded from nejm.org at Univ
of Central Florida College of Medicine on December 14, 2013. For personal use only. No
other uses without permission. Copyright © 1993 Massachusetts Medical Society. All rights
reserved.,” N. Engl. J. Med., vol. 329, pp. 977–984, 2013.
This research project is under:
Dr. Syed Md. Galib
ASSOCIATE PROFESSOR and Chairman
Dept. of Computer Science and Engineering
Jashore University of Science and Technology
Phone: +8801709818108
Email: galib.cse@just.edu.bd
Supervised By
Md. Shafiuzzaman
Lecturer
Dept. of Computer Science and Engineering
Jashore University of Science and Technology
Phone: +8801731283290
Email: md.shafiuzzaman.cse@just.edu.bd
Mostafijur Rahman
Roll: 150135
Session: 2015-16
Dept. of Computer Science and Engineering
Jashore University of Science and Technology
Current CGPA: 3.20(average of 6 semester)
Email: mostafijurj@gmail.com
Phone: +8801773126589
Durjoy Roy
Roll: 150129
Session: 2015-16
Dept. of Computer Science and Engineering
Jashore University of Science and Technology
Current CGPA: 3.19(average of 6 semester)
Email: durjoycse15@gmail.com
Phone: +8801872306949