Basketball shot and shooting pose analysis with machine learning

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose. - chonyy/AI-basketball-analysis

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose. - chonyy/AI-basketball-analysis

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose. - chonyy/AI-basketball-analysis

AI web App and API to analyze basketball shots.

https://github.com/OlexG/finclaw ^ repo if anyone wants to contribute. I realized that sometimes I'm pretty good at making random guesses about the future. (I.E, I think OpenAI will beat Anthropic in the short term, etc...) However, I'm bad at converting these guesses into actual market plays I can profit from. As such, I wanted to make a tool that connects to the right APIs and launches a swarm of agent experts to generate related plays based on your prediction. The very first super shitty V0 MPV just has Polymarket/Kalshi bets, but I will be adding a more complex…

Hey everyone, OP here. Wanted to share a bit more about Hooper — I started building it with a good friend of mine six months ago. We play a lot of pickup together and were arguing about who has a better jump shot and ended up hacking together an app to settle it The way Hooper works is you can record yourself using the app and ideally a tripod (optional). The app will track everyone, whether its a solo practice, a 3v3, or a 5v5. We think there’s a lot of stuff out there for basketball drills but what we really wanted Hooper to be for is actual game play. That means, it can do things like…