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AI & ML Case Study

Offering AI & ML Case Study

About the customer

Our customer here comes from a techno sports background. They provide services to various sports agencies and have entered the consumer market offering different products for the segment.

Industry

Technologies

Project Duration

Project Details

The client was seeking an application for iOS and Android platforms that would allow users to follow a game in real-time as well as participate in bets, and provide real-time game analysis to the players. Horizontal scalability of the application was further desired.

Problem

The client wanted to develop an app for both Android and iOS platforms. This app would enable users to view the game’s updates in real-time and allow them to participate in bets as well.
The requirement was to live stream the game and allow the user to view the game in real-time.
The client was also facing a challenge in terms of video streaming, streaming support was required even in case of a throttling network.
The app was required to cater to the needs of players as well. The client wanted the app to provide real-time analysis to the player as well as give them information about how the shot got played, factoring in the trajectory of the shot.
The client wanted to partner with various providers so that the user can redeem accumulated rewards from various bets.

Our Approach

An Android and iOS application was developed to allow users to have an interface in order to view the live games happening around.
The application was using RTSP to communicate with the source server and establish a connection between the client and server.
Using RTSP throttle, the video streaming issue was solved. The client-side was able to pass the parameters such as codec selection, bit rate, and desired quality to be received.
If an end consumer was on a throttled network, they could still view the video being streamed but the quality of the same is low. This helped in decreasing the dropout numbers.
The client was able to explore a SAAS offering using the app and partnered with various sports agencies to monitor a player’s performance.
AR was used to monitor the trajectory of the ball passed, the speed of the shots, and accuracy in terms of short passes and throughputs.
Sports agencies even used the AR feature to view the placement of the players on the field.

Benefits

An Android and iOS application was developed to allow users to have an interface in order to view the live games happening around.
The application was using RTSP to communicate with the source server and establish a connection between the client and server.
Using RTSP throttle, the video streaming issue was solved. The client-side was able to pass the parameters such as codec selection, bit rate, and desired quality to be received.
If an end consumer was on a throttled network, they could still view the video being streamed but the quality of the same is low. This helped in decreasing the dropout numbers.