Overview
As AI and computer vision are revolutionizing the world, the sports world can also benefit immensely from what these technologies have to offer. Basketball players can considerably improve their game by leveraging these technologies. As athletes must be on top of their game, they must know in what areas they can improve themselves. With this vision in mind, Ballogy, reached out to us.
This case study focuses on how custom-built mobile apps using computer vision can help coaches and amateur athletes improve their skills, work on weaknesses, and take their game to the next level.
The Challenge
Basketball coaches assess their players' skills by noting them down on paper and keeping a physical record of those. They needed something that allowed them to track their players' performance in the long run. Ballogy wanted a first-of-its-kind basketball performance tracking app with built-in skill assessment programs for coaches and players.
The Solution
After thoroughly assessing Ballogy’s requirement, our team was able to come up with a custom mobile app that included the following key features:
Built-in Development Plans
The app has built-in skill development plans endorsed by National High School Basketball Coaches Associations (NHSBCA) for skill development at every step of the player's journey.
Gamify Training
Players can compete against their peers, fellow players, and the whole basketball community by completing assessments and tasks and climbing the leaderboards.
Tracking and Evaluate
Coaches can track and evaluate a player's progression and customize drills for further improvements.
Create Accountability
Players can record each task and drill in the app and get 360-degree visibility into their skill development and year-round development.
Tech Stack
Using AWS services, our team was able to build a fast, scalable, and cost-effective app. Amazon CloudFront is used to speed up the distribution of web content such as HTML, CSS, JS, and images, to users.
Moreover, Load Balancers are used so that the app responds quickly, and it's combined with cloud front CNDs. Amazon Elastic Cloud Computing (E2C) is used which allowed us to develop and deploy applications faster without investing in hardware.
Here’s a complete list of the Tech Stack we used:
- AWS Route53
- CloudFormation
- Cloud Front
- Load Balancers
- Elastic Beanstalk Services (EBS)
- Elastic Cloud Computing (EC2)
- Relational Database Service (RDS)
- Simple Storage Service (S3)
- Simple Queue Service (SQS)
- Rekognition Service
- Simple Notification Service (SNS)
Conclusion
The integration of AI and computer vision into the world of basketball through custom-built mobile apps presents an exciting opportunity for both coaches and amateur athletes. This case study has demonstrated how the development of a groundbreaking basketball performance tracking app can revolutionize the way skills are assessed and improved in the sport.
By incorporating features such as endorsed skill development plans, gamified training, progress tracking, and enhanced accountability, this app can empower players to take their game to new heights. With technology paving the way for personalized and data-driven training, the future of basketball looks promising, with athletes and coaches better equipped to reach their full potential.
