Welcome to the homepage of SuperU. A personal AI trainer for everyone.
An application that works in tandem on your phone and smart-watch devices to provide the required data in real-time, thus creating a plan custom tailored to the user based on a learning algorithm. SuperU Takes the data gathered during each workout to allow the user to progress safely and efficiently.
Winston Shields is a senior at Old Dominion University majoring in Computer
Science and minoring in Computer Engineering. He has worked as a research assistance
at the ODU Vision Lab, dealing with deep learning and image processing. On Winston's free time
he spends time at the gym doing strength training. He is our strength training SME and received three state records in Virginia for USA Powerlifting.
Contact: wshie002@odu.edu
Vince Ruggiero is a senior at Old Dominion University also majoring in Computer Science and minoring in Cybersecurity. He has worked as a Systems Administrator, Infrastructure Consultant for several local companies such as Chartway, Norfolk State University, City of Virginia Beach, Hampton Roads Transit, and lately as System Analyst at Dollar Tree Inc. He enjoys working with programming/scripting languages such as PowerShell Python, Lua, C++, and Retro-computing.
Contact: vrugg001@odu.edu
Tony Loi is a senior at Old Dominion University majoring in Computer science
with a minor in Cybersecurity. He currently work for ODU's DSG group in the ITS
department. His dream profession is to work in software development or data
science. In his free time he enjoys weight lifitng and surfing. He is expected
to graduate in May 2021.
Contact: tloi001@odu.edu
Trevor is a computer science major at ODU, who has worked at Virginia Tech in undergraduate research and worked an internship at an international software company Hexagon PPM. He likes to build games and code in his free time. He has a dog named lucy and will be graduating Spring 2021.
Contact: tjone067@odu.edu
Ahkeem Battle is a senior at Old Dominion University majoring in Computer Science. Also, he works as a software engineer in Newport News shipyard. Enjoys learning about Artificial Intelligence and computer graphics. In his spare time he loves learning about the cosmos.
Contact: abatt009@odu.edu
Zane Austin is a senior at Old Doninion University majoring in Computer Science, minoring is Cybersecurity. Currently, he works as a DSG group Desktop Technician at ODU's ITS Department. He hopes to persue web and software development after finishing his degree in the Spring of 2021. He is fluent in the programming languages C++, Java, and Python, and enjoys working on computers and playing video games in his free time.
Contact: zaust003@odu.edu
Peter Amoah is a senior at Old Dominion University. He is majoring in Computer Science with a minor in CyberSecurity. He is currently working with ITS Network Team at ODU. He likes to play music or hang with friends during his free time. He is expecting to complete his undergraduate degree in May 2021.
Contact: pamoa002@odu.edu
Currently, many weightlifters ignore factors that are critical to increasing their lifts as effectively as possible. These factors include proper guidance, lack of sleep, and ignoring intensity goals.
With no real coach, progress may be slow and goals not achieved safely. No obvious timeline/goal progression analysis makes progress hard to track.
"It is likely that optimal sleep habits and obtaining adequate sleep will play an important role in peak performance in all levels of sports.” [12]
“This study reveals an athlete's inability to accurately assess how much sleep one actually obtains each night, thus leading to a misperception regarding the duration of sleep that constitutes adequate nightly sleep time” [12]
There is a lack of data correlation between individual sleep patterns, heart rate, height, weight, age, and gender that accounts for different factors in order to provide a baseline for weight lifting.
Not every software takes into account factors that play a critical role in training results such as sleep patterns and heart-rate outside of exercise and the use of wearables to objectively collect that data.
Training can be a difficult process that is hard to grasp for many individuals without a trainer. Nearly half of individuals training regularly face plateaus from under/overtraining, preventing them from reaching their goals.[6]
No software utilizes the RPE system to hit target intensities. Not every software is able to provide suggestions to mitigate any negative factor at play.
Our software, SuperU, an application that works in tandem on your phone and smart-watch devices to provide the required data in real-time, thus creating a plan custom tailored to the user based on a learning algorithm that takes the data gathered during each workout to allow the user to progress safely and efficiently.
The Progress Window will show current progress in relation to predicted results via graphs:
Current Position (current liftable wight)
Current result based on collected and logged data post workout.
Predicted Position:
Using data collected and previous progress in conjunction with a AI prediction algorithm to predict future gains.