It's an interesting project and it could be fun to watch, but it's completely useless.
To me, the customer here would be climbing gyms, offering a service to climbers.
1. Set up camera on routes
2. Record all climbs
3. Reason through hold details
4. Generate potential movements
5. Show climbs vs ghost movements
6. Feedback to tune model
To which I pointed out that, with enough data, you could reason backwards to figure out their properties.
Assuming that's solved, if the question is "What is the point?" then I'd answer the same point as golf swing analysis -- structured comparison feedback for continual improvement.
"Have you thought about trying X move at Y point?" or "You're trying X move at Y point, but here's how you differ from someone successfully doing it" both seem useful feedback.
And essentially what's manually generated now, from someone watching and then providing feedback.
With regards to strength, hell, if you wanted to get fancy you could also deduce a specific user's strength, comparing their moves against others' moves on the same features.