Research and a Recommendation Tool
- How have the indicators of weight and BMI changed over time in the United States?
- Has there been a noticeable change in obesity levels within different demographics (age groups, genders, and race/ethnicities) in the United States?
- Has there been an observable change the in physical activity levels within the US population over time?
- How do dietary choices, particularly those related to the consumption of fruits and vegetables, correlate with obesity levels?
- What other lifestyle factors significantly contribute to obesity/high BMI?
For example,
- does income status influence obesity rates?
- do habits like smoking, drinking lead to obesity?
- Conduct a comprehensive analysis to understand how obesity levels and lifestyle factors (particularly physical activity levels and dietary choices) have evolved over time and across diverse demographics.
- Explore potential associations and correlations between physical activities, dietary habits, and obesity levels to gain a better understanding of these contributing factors.
- Create a tool that provides personalized lifestyle suggestions (particularly diet and physical activity) for individuals with obesity/high BMI levels.
- Tool will show case the visualizations answering our research questions, to educate users about obesity.
- Tool will let users input their personal data, for example:
- BMI (Height, Weight)
- Demographic information (Sex at Birth, Age)
- Dietary choices
- Physical activity levels
- Other lifestyle factors (for example, sleeping habits)
- Based on the input, and the model built, tool will predict the obesity risk, and make recommendations for healthy lifestyle. The recommendations include
- Expected calorie intake
- Right food choices
- Physical activities (running, swimming etc)
- Extended features (These features are nice to have and will be delivered based on time & resource availability)
- Along with food choices, recommend healthy recipes that includes the raw ingredient.
- Consider other health factors about users such as known conditions like pregnancy, diabetes, physical disability etc.