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Inspiration 🌟

What is the problem? Physical activity early on can drastically increase longevity and productivity for later stages of life. Without finding a dependable routine during your younger years, you may experience physical impairment in the future. 50% of functional decline that occurs in those 30 to 70 years old is due to lack of exercise.

During the peak of the COVID-19 pandemic in Canada, nationwide isolation brought everyone indoors. There was still a vast number of people that managed to work out in their homes, which motivated us to create an application that further encouraged engaging in fitness, using their devices, from the convenience of their homes.

Webapp Summary 📜

Inspired, our team decided to tackle this idea by creating a web app that helps its users maintain a consistent and disciplined routine.

What does it do? 💻

my trAIner plans to aid you and your journey to healthy fitness by displaying the number of calories you have burned while also counting your reps. It additionally helps to motivate you through words of encouragement. For example, whenever nearing a rep goal, my trAIner will use phrases like, “almost there!” or “keep going!” to push you to the last rep. Once completing your set goal my trAIner will congratulate you.

We hope that people may utilize this to make the best of their workouts. Utilizing AI technology to help those reach their rep standard and track calories, we believe could help students and adults in the present and future.

How we built it:🛠

To build this application, we used JavaScript, CSS, and HTML. To make the body mapping technology, we used a TensorFlow library. We mapped out different joints on the body and compared them as they moved, in order to determine when an exercise was completed. We also included features like parallax scrolling and sound effects from DeltaHacks staff.

Challenges that we ran into 🚫

Learning how to use TensorFlow’s pose detection proved to be a challenge, as well as integrating our own artwork into the parallax scrolling. We also had to refine our backend as the library’s detection was shaky at times. Additional challenges included cleanly linking HTML, JS, and CSS as well as managing the short amount of time we were given.

Accomplishments that we’re proud of 🎊

We are proud that we put out a product with great visual aesthetics as well as a refined detection method. We’re also proud that we were able to take a difficult idea and prove to ourselves that we were capable of creating this project in a short amount of time. More than that though, we are most proud that we could make a web app that could help out people trying to be more healthy.

What we learned 🍎

Not only did we develop our technical skills like web development and AI, but we also learned crucial things about planning, dividing work, and time management. We learned the importance of keeping organized with things like to-do lists and constantly communicating to see what each other’s limitations and abilities were. When challenges arose, we weren't afraid to delve into unknown territories.

Future plans 📅

Due to time constraints, we were not able to completely actualize our ideas, however, we will continue growing and raising efficiency by giving ourselves more time to work on my trAIner. Potential future ideas to incorporate may include constructive form correction, calorie intake calculator, meal preps, goal setting, recommended workouts based on BMI, and much more. We hope to keep on learning and applying newly obtained concepts to my trAIner.

Built With

• css
• html
• javascript
• tensorflow