Autonomous personalized golf recommendation and analysis environment
Exemplary embodiments of the present disclosure are directed to systems, methods, and computer-readable media configured to autonomously generate personalized recommendations for a user before, during, or after a round of golf. The systems and methods can utilize course data, environmental data, user data, and/or equipment data in conjunctions with one or more machine learning algorithms to autonomously generate the personalized recommendations.
1. A method of autonomously generating personalized recommendations for a user before, during, or after a round of golf, the method comprising:
retrieving at least one of course data, environmental data, user data, or equipment data from at least one of one or more sensors or one or more data sources;
executing of one or more machine learning algorithms to autonomously generate a recommendation or analysis for the user in response to detecting the user at a specified location on a golf course, the one or more machine learning algorithms autonomously generating the recommendation or analysis based on the course data, the environmental data, the user data, or the equipment data; and
outputting the recommendation or analysis to the user.
2. The method of claim 1 , wherein the recommendation or analysis is autonomously generated in response to detecting the user is arriving at the golf course.
3. The method of claim 1 , wherein the recommendation or analysis is autonomously generated in response to detecting the user is leaving the golf course.
4. The method of claim 1 , wherein the recommendation or analysis is autonomously generated in response to detecting the user is at a hole on the golf course.
5. The method of claim 1 , wherein the recommendation or analysis is autonomously generated in response to detecting the user is at a green on the golf course.
6. The method of claim 1 , wherein the course data includes data associated with the golf course, the environmental data includes environmental conditions associated with the golf course or a geographic region in proximity to or within which the golf course resides, the user data includes data that is specific to the golf performance of the user at the golf course or at other golf courses, or the equipment data includes data that is specific the use of golf equipment by the user.
7. The method of claim 1 , wherein the one or more machine learning algorithms are executed concurrently to each other.
8. The method of claim 7 , further comprising:
weighting the outputs of the one or more machine learning algorithms.
9. The method of claim 7 , further comprising:
assigning each output of the one or more machine learning algorithms a vote; and
determine the recommendation or analysis to output to be rendered on the display based on a quantity of votes.
10. The method of claim 1 , wherein a pre-round analysis is autonomously generated, and the method further comprises:
identifying a golf course associated with the round of golf in response to input received from the user.
11. The method of claim 10 , wherein identifying the golf course comprises:
detecting the user is at the specified location on the golf course based on location information generated by an electronic device associated with the user.
12. The method of claim 11 , wherein a post-round analysis is autonomously generated, and the method further comprises:
receiving the location information and golf data generated by at least one of an electronic device associated with the user or sensors affixed to golf clubs associated with the user; and
determining that the golf data and location information corresponds to a completion of a round of golf at the golf course by the user.
13. A system for autonomously generating personalized recommendations for a user before, during, or after a round of golf, the system comprising:
one or more non-transitory computer-readable media storing at least one of course data, environmental data, user data, or equipment data;
one or more servers configured to:
retrieve at least one of course data, environmental data, user data, or equipment data from at least one of one or more sensors or the one or more non-transitory computer-readable media;
execute of one or more machine learning algorithms to autonomously generate a recommendation or analysis for the user in response to detecting the user at a specified location on a golf course, the one or more machine learning algorithms autonomously generating the recommendation or analysis based on the course data, the environmental data, the user data, or the equipment data; and
output the recommendation or analysis to the user.
14. The system of claim 13 , wherein the one or more servers are configured to autonomously generate the recommendation or analysis in response to detecting the user is arriving at the golf course.
15. The system of claim 13 , wherein the one or more servers are configured to autonomously generate the recommendation or analysis in response to detecting the user is leaving the golf course.
16. The system of claim 13 , wherein the one or more servers are configured to autonomously generate the recommendation or analysis in response to detecting the user is at a hole on the golf course.
17. A non-transitory computer-readable medium comprising instructions that when executed by a processing device causes the processing device to:
retrieve at least one of course data, environmental data, user data, or equipment data from at least one of one or more sensors or the one or more computer-readable media;
execute of one or more machine learning algorithms to autonomously generate a recommendation or analysis for the user in response to detecting the user at a specified location on a golf course, the one or more machine learning algorithms autonomously generating the recommendation or analysis based on the course data, the environmental data, the user data, or the equipment data; and
output the recommendation or analysis to the user.
18. The medium of claim 17 , wherein execution of the instructions by the processing device causes the processing device to autonomously generate the recommendation or analysis in response to detecting the user is arriving at the golf course.
19. The medium of claim 17 , wherein execution of the instructions by the processing device causes the processing device to autonomously generate the recommendation or analysis in response to detecting the user is leaving the golf course.
20. The medium of claim 17 , wherein execution of the instructions by the processing device causes the processing device to autonomously generate the recommendation or analysis in response to detecting the user is at a hole on the golf course.