@kevbuildsapps: How it works: 1. Use an open source vision model like SAM 3, released by Meta, to detect and track objects in real time. 2. Build an AI referee for any sport. My own basketball app tracks shooting percentage perfectly in practice, and the same approach rolls over into soccer, tennis, football, and track and field. 3. Extend it to form tracking for powerlifting and gym workouts, catching posture and movement in real time. 4. Apply the same vision models to employee tracking, which is already common in China for restaurant chains and cold calling floors to watch performance. 5. Point a camera at yourself while you work at your desk and let the model watch your own posture throughout the day. AI vision models are one of the most slept on verticals in the entire AI race because of how fast they keep improving and how many real world use cases you can build. Open source models like SAM 3 from Meta make it possible to build an AI referee, a basketball shooting percentage tracker, an employee tracking system, or a posture monitor without a huge team. The same vision model approach scales across soccer, tennis, football, track and field, powerlifting, and gym form checks. If you are looking for AI app ideas, computer vision use cases, or ways to build with open source vision models, these three examples are a strong place to start. #computervision #aivision #sam3 #opensourceai #aiagents #buildwithai #aideveloper #machinelearning #aiapps #techtutorial #visionmodels #kevbuildsapps

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Friday 16 October 2026 22:05:00 GMT