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
The Project manager had a detailed discussion with client. The whole team adopted innovative ways to enhance and reached with result oriented approach to develop an application, which is basically a combination of wearable & Machine learning.
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.
At Gloify, we embrace Agile methodologies in most of our projects. Our expertise at Machine Learning helps our client tap into the vast and unexplored reserves of unprocessed data and make informed decisions from them.
Team checked every piece of code before deployment to see if it matched the standard. This approach resulted in less time needed to implement changes and new features to the product.
The expert team adopted the unique approach to integrate the Hardware part that is wearable with machine learning through many sensors. The application is made to adapt to the user’s style & generate smart, relevant, actionable feedback.