What it does

Gives out the energy consumed during activity without any fit band.

How I built it

we used Posenet to understand the body posture and how the movement is happening with respect to time and based on that, we have built a way to understand the energy consumed during the activity.

Challenges I ran into

It is during training, we were unable to find datasets, for which we wanted to predict more than 80 points on the body. but, somehow, we were able to implement it with a minimal set of points. We did face a few problems during the implementation of the same on IOS and Android

Accomplishments that I'm proud of

The ability to make these models light, so that they worked near-realtime on edge devices

What I learned

What's next for FEnergy

We want to add features like pose correction during the exercise

Built With

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