Kindly write a pitch for your project. Please do not use more than 500 words
The fat but fit paradox has suggested that individuals with good fitness levels have lower cardiometabolic risk compared to individuals with normal weight but lower fitness levels. This paradigm has not been explored in the context of body gender, age, BMI, body fat percentage and body fat mass. People during 1970’s wasn’t
much aware of the concepts of fat mass, BMI while calculating the weight, they
simply put up on age and gender to calculate the targeted weight to be achieved.
But the result’s accuracy is efficient only for small amount of data. When data become larger and values changes drastically the method became inefficient. Later in 2000’s after the failure, the targeted weight’s calculation has been changed. It is achieved by calculating the BMI, then calculating the body fat percentage based on age, gender and BMI, then using body fat percentage, lean body mass and fat body mass is calculated, then based on the given statistics data the ideal weight is being calculated based on age, gender and BMI. Here using the body fat mass and BMI we can able to calculate the perfect ideal weight for that person based on their body types. This method became more efficient when it applies for larger data and it shows the accurate results too.
🔦 Any other specific thing you want to highlight?
(Optional)
✅ Checklist
Before you post the issue:
[x] You have followed the issue title format.
[x] You have provided all the information correctly.
[x] You have read and agree with the terms in the Code Of Conduct
Before you start, please follow this format for your issue title: TEAM NAME - PROJECT NAME - THEME NAME
ℹ️ Project information
Your Theme : Health
Project Name: Fat to Fit
Short Project Description: about to achieve the targeted weight based on the body types and given details
Team Name: Team Thunderbird
Team Members: R Vigneshwaran, S Sabari Girish @sabarigirish@28, R B Advaithbarath @rbadvaith, K Mani Bharathi
Demo Link: Demo Video with (if any, this might contain a website/ mobile application link, etc.) https://drive.google.com/drive/folders/1d5Wnyh7JigKXgLWLepNcGo8MOs6USrdM?usp=sharing
Presentation Link: Provide us the link to for your power point presentation. https://docs.google.com/presentation/d/16sRK0EGvt4XeluxBXQZvxUXma3rn0zPV1g642HtMV8E/edit#slide=id.gf17bc7b996_0_30
Repository Link: _Provide us the link to your code. https://github.com/rbadvaith/Hackathon
🔥 Your Pitch
Kindly write a pitch for your project. Please do not use more than 500 words
The fat but fit paradox has suggested that individuals with good fitness levels have lower cardiometabolic risk compared to individuals with normal weight but lower fitness levels. This paradigm has not been explored in the context of body gender, age, BMI, body fat percentage and body fat mass. People during 1970’s wasn’t much aware of the concepts of fat mass, BMI while calculating the weight, they simply put up on age and gender to calculate the targeted weight to be achieved. But the result’s accuracy is efficient only for small amount of data. When data become larger and values changes drastically the method became inefficient. Later in 2000’s after the failure, the targeted weight’s calculation has been changed. It is achieved by calculating the BMI, then calculating the body fat percentage based on age, gender and BMI, then using body fat percentage, lean body mass and fat body mass is calculated, then based on the given statistics data the ideal weight is being calculated based on age, gender and BMI. Here using the body fat mass and BMI we can able to calculate the perfect ideal weight for that person based on their body types. This method became more efficient when it applies for larger data and it shows the accurate results too.
🔦 Any other specific thing you want to highlight?
(Optional)
✅ Checklist
Before you post the issue: