Coachcaddy: Sports and Activity management application

Coachcaddy is a sports and activity management application. It is designed for coaches, players, and parents. It helps them in scheduling the training, showing their availability, data on scoring and getting the information more quick and easy. The main purpose of Coach Caddy is to provide a platform to coach players online through the app. CoachCaddy removes the barriers faced by many sport athletes & coaches which comes in their training, concerning money, time, etc

Coach caddy provides a real time analysis. To get the real-time feedback, three eraser sized sensors need to place on players. These sensors captures all the body and club motion. All the kinetic data is being captured and sent to the machine learning algorithm. All the data captured by the device using BLE sensors are first sent to the server then it gets processed in Backend and Frontend has to plot a 3D graph using that data. The team expertise in Machine learning has worked hard to meet all the specific requirements.

The team worked on the requirement and come up with solution about the working and functioning of the application. The wearable, include 3 small eraser sized sensors placed on a different part of the user’s body, which captures the kinetic movement of the user and our machine learning software/Application analyse it and identify the user’s style, strengths and weaknesses. CoachCaddy not only captures the minute kinetic movement of the trainee, but also analyses it and archives performances for future references. It also generates machine learning feedback which helps in customized training schedule/activity for the user.
not only captures the minute kinetic movement of the trainee, but also analyses it and archives performances for future references. It also generates machine learning feedback which helps in customized training schedule/activity for the user.

• The coach caddy app will record the player’s movement with the help of a gyroscope magnetometer and accelerometer fusion. Which gives us the pitch roll raw readings.
• Each shot uses to give us 1000 to 1500 readings per second and each of them was much important to plot the movement.
• Once the shot recorded then backend will generate coordinates.
• Using time and the displacement to one point to another we were able to calculate the speed and direction of the shot.
• This reading helps the coach to compare a shot with the perfect shot.