Deployed a Real-Time Pose-Detection Deep Learning model with TensorFlow, Keras and OpenCV which is able to detect and render up to 17 different body keypoints.

• Used TensorFlow metal for ARM-based mac devices.

• The Model is able to detect up to 6 different people at the same time. With a total of 102 rendered keypoints.

• This model will aid sports coaches to detect weaknesses in their athlete’s body technique.

• This model is applicable to most technical-based sports: Tennis, Golf, Football, Swimming, etc.

• Model is usable in either real-time video or by uploading any video.

• Created associated ‘.yaml’ file for creating a working conda virtual environment.

• Included other relevant documentation such as a ‘readme.md’ file.