Dec 06, 2021
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Completed
Scaling up a fitness app with deep neural networks
$25,000+
2-3 months
United States, NYC
2-5
Service categories
Service Lines
Artificial Intelligence
Software Development
Domain focus
Healthcare
Programming language
Python
Frameworks
Torch/PyTorch
Challenge
The client wanted to improve their home workout app with AI. Specifically, they needed to advance human activity recognition in their mobile fitness app.
The client wanted to improve their home workout app with AI. Specifically, they needed to advance human activity recognition in their mobile fitness app.
Solution
Our consultants suggested using deep learning to improve object localization and detection. We also developed custom error detection algorithms enabling accurate body tracking and injury prevention during workouts.
Our consultants suggested using deep learning to improve object localization and detection. We also developed custom error detection algorithms enabling accurate body tracking and injury prevention during workouts.
Results
The client benefited from working with us in the following ways:
Human activity recognition improved by 45%
App speed improved by 30%
Injury-free workouts through error detection were enabled.
The client benefited from working with us in the following ways:
Human activity recognition improved by 45%
App speed improved by 30%
Injury-free workouts through error detection were enabled.