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(Final Presentation)
 Nowadays, the majority of people are overweight and obese
because modern lifestyle stuffed with all the luxuries and
catered with abundance of unhealthy junk foods is responsible
for all these health problems.
 It is not just only health that is suffering. It also related to
medical cost.
 So, all most people should pay more attention and be
interested in health by regular exercise and management of
good nutrition each meal.
 The system provides an effective decision to create healthy
food choices and plans in order to help people to lose weight
and maintain good health.
 The system can efficiently analyze healthy food and suggest
how to plan of healthcare appropriate with each person’s body.
 The system can make personalized decision for healthier
choices in every meal so that the body properly get proper
nutrition for each day and suitable with person.
 System inputs, including:
◦ Health information: gender, age, weight, height and activity level
◦ Dietary information: expected weight to achieve a goal and its
relative number of days
 Prepared database
◦ Categories of menus and its calories
 Formulas of calculation, including:
◦ BMI
◦ BMR
◦ Activity factor
 Apache Web Server
 Database: MySQL
 Language: PHP, HTML, CSS, Javascript
 Sampling data of the nutrient_food table
 Sampling data of the categories_food table
 The system provides the appropriate information about menus
and its calories in each day.
 The menus should be proper to individual needs and
preferences as following:
◦ For normal weight people maintain weight
◦ For overweight people lose weight
◦ For lean people gain weight
 BMI calculation
 BMI evaluation
 Range of suitable weight related to normal
 The Harris-Benedict equation for BMR:
◦ English BMR Formula
 For Women: BMR = 655 + (4.35 x w) + (4.7 x h) - (4.7 x a)
 For Men: BMR = 66 + (6.23 x w) + (12.7 x h) - (6.76 x a)
 Where: w = weight in pounds, h = height in inches, a = age
◦ Metric BMR Formula
 For women: BMR = (9.563 x w) + (1.85 x h) - (4.676 x a) + 655.1
 For men: BMR = (13.75 x w) + (5.003 x h) - (6.755 x a) + 66.5
 Where: w = weight in kg, h = height in cm, a = age
 BMR calculation
 BMR gives the information of the energy spend at the state of resting
 It has to adjust with the actual activity level
 Multiply the BMR by a factor called Activity Factor.
Activity Factor Category Definition
1.2 Sedentary Little or no exercise and desk job
1.375 Lightly Active Light exercise or sports 1-3 days a week
1.55 Moderately Active Moderate exercise or sports 3-5 days a week
1.725 Very Active Hard exercise or sports 6-7 days a week 4
1.9 Extremely Active Hard daily exercise or sports and physical job
 Calories needed per day
 Suggestive calories
 BMI and BMR formulas are applied as the main mathematical
model to evaluate appropriate food menus for the users.
 It can suggest the range of suitable weight corresponding to
normal weight for inputting the expected weight
 It can offer the options of reducing rate of calories
 Users can efficiently schedule the meals through this system
with its user interface friendly.
Thank You!
Question & Answer?

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Modern Lifestyle Causes Weight Gain

  • 2.  Nowadays, the majority of people are overweight and obese because modern lifestyle stuffed with all the luxuries and catered with abundance of unhealthy junk foods is responsible for all these health problems.  It is not just only health that is suffering. It also related to medical cost.  So, all most people should pay more attention and be interested in health by regular exercise and management of good nutrition each meal.
  • 3.  The system provides an effective decision to create healthy food choices and plans in order to help people to lose weight and maintain good health.  The system can efficiently analyze healthy food and suggest how to plan of healthcare appropriate with each person’s body.  The system can make personalized decision for healthier choices in every meal so that the body properly get proper nutrition for each day and suitable with person.
  • 4.  System inputs, including: ◦ Health information: gender, age, weight, height and activity level ◦ Dietary information: expected weight to achieve a goal and its relative number of days  Prepared database ◦ Categories of menus and its calories  Formulas of calculation, including: ◦ BMI ◦ BMR ◦ Activity factor
  • 5.  Apache Web Server  Database: MySQL  Language: PHP, HTML, CSS, Javascript
  • 6.  Sampling data of the nutrient_food table
  • 7.  Sampling data of the categories_food table
  • 8.  The system provides the appropriate information about menus and its calories in each day.  The menus should be proper to individual needs and preferences as following: ◦ For normal weight people maintain weight ◦ For overweight people lose weight ◦ For lean people gain weight
  • 11.  Range of suitable weight related to normal
  • 12.  The Harris-Benedict equation for BMR: ◦ English BMR Formula  For Women: BMR = 655 + (4.35 x w) + (4.7 x h) - (4.7 x a)  For Men: BMR = 66 + (6.23 x w) + (12.7 x h) - (6.76 x a)  Where: w = weight in pounds, h = height in inches, a = age ◦ Metric BMR Formula  For women: BMR = (9.563 x w) + (1.85 x h) - (4.676 x a) + 655.1  For men: BMR = (13.75 x w) + (5.003 x h) - (6.755 x a) + 66.5  Where: w = weight in kg, h = height in cm, a = age
  • 14.  BMR gives the information of the energy spend at the state of resting  It has to adjust with the actual activity level  Multiply the BMR by a factor called Activity Factor. Activity Factor Category Definition 1.2 Sedentary Little or no exercise and desk job 1.375 Lightly Active Light exercise or sports 1-3 days a week 1.55 Moderately Active Moderate exercise or sports 3-5 days a week 1.725 Very Active Hard exercise or sports 6-7 days a week 4 1.9 Extremely Active Hard daily exercise or sports and physical job
  • 17.
  • 18.  BMI and BMR formulas are applied as the main mathematical model to evaluate appropriate food menus for the users.  It can suggest the range of suitable weight corresponding to normal weight for inputting the expected weight  It can offer the options of reducing rate of calories  Users can efficiently schedule the meals through this system with its user interface friendly.