System and method for sports social media application
A method includes selecting a test, by a computer using a sports social media application. The method also includes selecting a user and sending, by the computer using the social media sports application, test data associated with the test to a device associated with the user.
1. A method comprising:
selecting, by a first computer using a sports social media application, a basketball-specific skill evaluation test from a set of basketball-specific skill evaluation tests preconfigured based on one or more fixed landmarks relating to a basketball court;
selecting, in accordance with an input provided via the sports social media application by a first user of the sports social media application, one or more second users of the sports social media application to be evaluated with respect to one or more particular basketball-specific skills via the selected basketball-specific skill evaluation test;
sending, by the first computer using the sports social media application, test data comprising one or more parameters identifying the selected basketball-specific skill evaluation test to one or more second devices associated with the one or more second users to prompt the one or more second devices to initiate, using the sports social media application at the one or more second devices, the selected basketball-specific skill evaluation test for the one or more second users; and
generating, via one or more machine learning and/or artificial intelligence components, test performance data and forward projections of future performance for the one or more second users of the sports social media application using video data corresponding to captured video content of performance of the selected basketball-specific skill evaluation test captured by the one or more second devices.
2. The method of claim 1 , further comprising, prior to selecting the basketball-specific skill evaluation test, creating the basketball-specific skill evaluation test via a custom basketball-specific test builder module of the sports social media application at the first computer.
3. The method of claim 1 , wherein the one or more forward projections of future performance for the one or more second users of the sports social media application include expected points, goals, assists, rebounds, blocks, steals, or a combination thereof.
4. The method of claim 1 , further comprising generating, at the first computer at least in part via the sports social media application, team forward projections based on the test performance data and further based on aggregate data from a plurality of other users.
5. The method of claim 4 , wherein the team forward projections includes expected wins, losses, win streaks, loss streaks, win percentage, opponent predictions, weather predictions, and wherein the aggregate data includes open domain data.
6. The method of claim 1 , further comprising receiving, by the first computer using the sports social media application, certified test performance data from a device associated with a testing center.
7. The method of claim 1 , wherein selecting the one or more second users includes selecting a roster including at least each of the one or more second users.
8. The method of claim 1 , further comprising, prior to selecting the one or more second users, searching, at the first computer at least in part via the sports social media application, for at least one user by username, name, affiliation, or a combination thereof.
9. The method of claim 1 , further comprising generating, at the first computer at least in part via the sports social media application, one or more visual representations based at least in part on the test performance data, the forward projections, or both.
10. A method comprising:
receiving, at one or more second devices from a first device, an indication of a selection of a basketball-specific skill evaluation test from a set of preconfigured basketball-specific skill evaluation tests for one or more second users selected from a plurality of users of a sports social media application at least in part in accordance with an input provided by a first user via the sports social media application at the first device, wherein the set of preconfigured basketball-specific skill evaluation tests are preconfigured based on one or more fixed landmarks relating to a basketball court;
responsive at least in part to receiving the indication of the selection of the basketball-specific skill evaluation test, initiating administration of the selected basketball-specific skill evaluation test at least in part via the one or more second devices, wherein the one or more second devices are capable of capturing video content pertaining to performance of the selected basketball-specific skill evaluation test for the one or more second users;
generating, via the sports social media application at the one or more second devices, test performance data based on the performance of the selected basketball-specific skill evaluation test for the one or more second users;
generating, via one or more machine-learning and/or artificial intelligence components, the test performance data and forward projections of future performance for the one or more second users using video data corresponding to video content of the performance of the selected basketball-specific skill evaluation test captured by the one or more second devices; and
sending, at least in part via the sports social media application, the test performance data from the one or more second devices to the first device.
11. The method of claim 10 , wherein the selected basketball-specific skill evaluation test includes a combine measurement, a running drill, a shooting drill, a throwing drill, a passing drill, or a combination thereof.
12. The method of claim 10 , further comprising publishing the test performance data via the sports social media application to one or more additional devices of one or more additional users.
13. The method of claim 10 , further comprising sending the test performance data to a server computing device.
14. A method comprising:
receiving, at a computer via a sports social media application, test data associated with a user associated with the computer, wherein the test data comprises one or more parameters identifying a particular basketball-specific skill evaluation test;
initiating, at the computer, administration of the particular basketball-specific skill evaluation test based on the test data and on one or more fixed landmarks relating to a basketball court;
capturing, by the computer, video content of the user performing the particular basketball-specific skill evaluation test;
generating, by one or more machine learning and/or artificial intelligence components, test performance data based on an evaluation of the video content;
sending, by the computer, the test performance data via the sports social media application to one or more other computing devices; and
generating, by the one or more machine learning and/or artificial intelligence components, forward projections of future performance for one or more users using video data corresponding to the video content of the user performing the particular basketball-specific skill evaluation test captured by the computer.
15. The method of claim 14 , further comprising generating, by the computer, voice instructions based at least in part on the test data, wherein the test data is received from a first device and wherein the test performance data is sent to a second device at least in part via the sports social media application.
16. The method of claim 14 , further comprising, responsive to receiving the test data, generating a notification, an entry in a feed of the sports social media application, or both.
17. A system comprising: a server;
a first device, coupled to the server via a network, that includes a first computer processor and a first computer memory, the first computer memory including first computer program instructions comprising one or more functions of a sports social media application that, when executed:
create a basketball-specific skill evaluation test based on one or more fixed landmarks relating to a basketball court, send, via the network, test data comprising one or more parameters identifying the basketball-specific skill evaluation test, receive, via the network, test performance data pertaining to the basketball-specific skill evaluation test, and generate forward projections of expected results based on the test performance data; and
a second device, coupled to the server via the network, that includes a video camera, a second computer processor, and a second computer memory, the second computer memory including second computer program instructions comprising one or more second functions of the sports social media application that, when executed:
receive the basketball-specific skill evaluation test from the first device via the network, administer the basketball-specific skill evaluation test to one or more second users associated with the second device at least in part via the sports social media application, generate the test performance data —according to an evaluation by a one or more machine learning and/or artificial intelligence components used to generate the test performance data and the forward projections of expected results for the one or more second users corresponding to video content captured via the video camera, and send, via the sports social media application, the test performance data to the first device or the server, or a combination thereof, via the network.
18. A smartphone comprising:
a touchscreen display;
a camera;
one or more sensors;
a processor coupled to the touchscreen display, the camera, and the one or more sensors;
a memory; and
a sports social media application stored in the memory and executable by the processor, the sports social media application including:
a social networking application;
a basketball-specific skill evaluation test builder application to output a graphical representation of a basketball court, receive a graphical indicator with respect to one or more fixed landmarks relating to the basketball court, and generate a basketball-specific skill evaluation test responsive to receiving the graphical indicator; and
one or more machine learning and/or artificial intelligence components to generate test performance data and to generate forward projections of future performance for one or more users using video data corresponding to video content of one or more performances of the basketball-specific skill evaluation test captured by the camera.