The ML Kit Pose Detection API is a lightweight versatile solution for app developers to detect the pose of a subject's body in real time from a continuous video or static image. A pose describes the body's position at one moment in time with a set of skeletal landmark points. The landmarks correspond to different body parts such as the shoulders and hips. The relative positions of landmarks can be used to distinguish one pose from another.

• Android Studio 3.2 (installed on a Linux, Mac or Windows machine)
• Android device in developer mode with USB debugging enabled
• USB cable (to connect Android device to your computer)

• Step 1. Clone the Repository

git clone https://github.com/naman-jain-44/virtual-gym.git

• Step 2. Open Android Studio and from there choose 'Open an Existing Project'

• Step 3. Build the Android Studio project

Select Build -> Make Project and check that the project builds successfully. You will need Android SDK configured in the settings. You'll need at least SDK version 23. The build.gradle file will prompt you to download any missing libraries and also connect it with Firebase Authentication with your account.

• Step 4. Install and Run the app

Connect the Android device to the computer and be sure to approve any ADB permission prompts that appear on your phone. Select Run -> Run app. Select the deployment target in the connected devices to the device on which the app will be installed. This will install the app on the device.

To test the app, open the app called Virtual Gym on your device. When you run the app the first time, the app will request permission to access the camera. Re-installing the app may require you to uninstall the previous installations.