Mr Fitter

Main Window
Back workout_demo
Exercise_demo

Inspiration

As a team of fitness enthusiast, the quarantine sent us all running to YouTube fitness coaches, and while being very helpful, sometimes you just wanna get that small piece of information without scrubbing through an entire video. We wanted to build something which was quick, to the point, and easy to use.

What it does

Mr Fitter takes input either through text or voice, and scans the intent of the user using wit, and displays a relevant guide to the user.

How we built it

The interface is built using a niche Python library called Dearpygui. We went through several iteration to end up at the current state of the project. We started with categorizing how we wanted our database to be, and trained the same on wit.ai.

Challenges we ran into

The biggest challenges we faced were finding a way how to run Gifs in the window, and how to asynchronously listen for audio. Both of these features took a lot of trial and error, and not to mention, time.

Accomplishments that we're proud of

No surprises that our accomplishments are the same as the challenges we solved! Other than that, we are proud of being able to maintain the consistent aesthetic of the interface, even when we could not implement things the way we wanted to.

What we learned

We learned about a new API service Wit.ai, we learned how to use a new GUI library. And most importantly, we learned new ways of optimizing code, and while it is still a work in progress, we are happy with some of the techniques we applied.

What's next for Mr Fitter

We have plans to expand the database to hundreds of exercises, and to add a new feature which can diagnose you in case you get injured performing any exercise. In long term, we have plans to expand this to a web-app, and even a mobile application.

Built With

Submitted to

Facebook Hackathon: AI

Created by

I worked on the Frontend of this project, and also linked the interface to the database. I used a library I had never used before, it was difficult, but it only made my appreciation for the developer community grow.

Siddharth Gautam
I developed, adjusted, and refined the database. All of the exercises, images, and their corresponding guide were done by me. I made sure that the distribution of exercises were all rounded and not a bunch of similar exercises. This project was a new experience for me, it made me familiar with Wit.ai and got to learn a lot from this.

Sheikh Parvez Ahmed
I help in research in the project , and i had never use Wit.ai like Smart robot before so,it's a very great opportunity for me to learn Wit.ai during the hackathon.

Pranav Gupta
I trained Wit.ai app as per the project requirements. I contributed in optimization of algorithm as well as in a portion of the backend. I also did the testing part while the project was under building stage.

Shriyans Kaushik