The public Kite + AI site shows how its riding-conditions verification loop is structured. For Saint Petersburg and the Leningrad region, the site lists 10 physical stations and 11 observation channels connected from open sources. Source availability and freshness are checked every minute, while the planner compares observations with three forecast models, shoreline orientation and spot parameters. The confirmed stage is a published planner for Saint Petersburg and Hurghada, a spot catalogue covering 12 countries, and an interface where riders enter location, weight, experience, kite size and travel period. The portal also provides cameras, learning materials and wind-checking channels. Its practical purpose is to reduce manual comparison of scattered forecasts before a trip. The minute-by-minute check monitors data availability; it does not automatically retrain a neural network. A recommendation does not guarantee safety or replace in-person instruction. Before launching, riders must independently check actual wind, direction relative to shore, cameras, sensors, obstacles, rescue infrastructure, equipment and their own condition. Recommendation accuracy and any effect on safety remain hypotheses until independently measured.
Project review
Kite + AI: minute-by-minute data checks are quality control, not a guarantee
The public Kite + AI site shows how its riding-conditions verification loop is structured. For Saint Petersburg and the Leningrad region, the site lists 10 physical stations and 11 observation channels connected from open sources. Source availability and freshness are checked every minute, while the planner compares observations with three forecast models, shoreline orientation and spot parameters. The confirmed stage is a published planner for Saint Petersburg and Hurghada, a spot catalogue covering 12 countries, and an interface where riders enter location, weight, experience, kite size and travel period. The portal also provides cameras, learning materials and wind-checking channels. Its practical purpose is to reduce manual comparison of scattered forecasts before a trip. The minute-by-minute check monitors data availability; it does not automatically retrain a neural network. A recommendation does not guarantee safety or replace in-person instruction. Before launching, riders must independently check actual wind, direction relative to shore, cameras, sensors, obstacles, rescue infrastructure, equipment and their own condition. Recommendation accuracy and any effect on safety remain hypotheses until independently measured.