Virtual Gym Trainer

Story of Virtual
gym trainer

The requirement is to develop a virtual gym trainer app that utilizes a camera-equipped device to monitor and assess the user's exercise performance. The system should be capable of detecting and analyzing movements in real time to determine if the user is executing the exercises correctly, providing valuable feedback and guidance for improved workout effectiveness and injury prevention.

Obstacles We
Overcame

Several obstacles have arisen during the development of the virtual gym trainer app. Firstly, ensuring the accuracy and reliability of the pre-trained pose estimation AI model has been challenging, as it needs to precisely detect and analyze human bone joints in real time from captured videos. Additionally, training an AI video classification model that effectively differentiates between correct and incorrect exercise poses requires high-quality and diverse data, which was limited. Integrating the local deployment of the pose-estimation model on the edge device and managing the cloud deployment of the classification model also presents technical complexities. Finally, optimizing the app's performance, responsiveness, and user experience across different mobile devices was demanding. But, we are happy to overcome all these one by one and build an amazing final product.

A pre-trained pose estimation AI model was used to detect human bone joints from the captured video.
An AI video classification model was trained to classify between correct and incorrect exercise poses from data provided by the client.
The trained model was used to classify the user’s video.
The pose-estimation model was deployed locally in an edge device sold along with the setup and the classification model was deployed in a cloud server.
The result was fed into the application on the user’s mobile.

The technology
used

Final Result

The cutting-edge fitness application incorporates advanced AI technology to revolutionize users’ exercise routines. Using a pre-trained pose estimation model, it accurately detects and analyzes your body movements in real time. The cloud-based AI model then classifies users’ exercise poses, distinguishing between correct and incorrect forms. The application seamlessly integrates with a compact edge device for local pose estimation, while the classification model runs on a powerful cloud server. All results are conveniently delivered to the mobile device, enhancing the fitness journey like never before.

Our clients simply love
our work

"Even though they work remotely, communication is almost in real-time."

Uli Ebensperger

Founder, Ziggma

"Great quality deliverable with respect to timeline and business scope. Great Team to work with in general. Definitely can recommend to anyone who is looking for Hi-Fi UX Mockups. Thank you!"

Ben Koussa

Founder

"From the very first call they were the only agency that has shown real interest and trying to understand the reason behind why I ask for what I ask for. They were customer oriented all the time and delivered on demand, while proposing improvements wherever possible. Very great cooperation! They have prepared my SaaS documents they will most likely be the partner to develop it in the end!"

Marco Koehler

Co-Founder

"If I sent them an email, I would get an immediate response and not have to wait a week."

Alexander Taubenkorb

CEO, Wopio

"They don’t treat you like an everyday client. You feel like you’re really important."

Hajj Womack

CEO, TeachersInTouch

"I am so happy I took a risk and hired them."

Jeffery N. Tejcek

Communication Director, Virtual EMDR

"Know high of the highest level and maximum availability. Highly recommended."

Daniele Nardin

Co-Founder

"The quality of work was great, but they went way past schedule (could be due to Corona, who knows). I will be working with them again, though. I would recommend them for any project."

Justin Butler

CEO