Equus — Real-time AR
for Riders and Trainers.
An AI-powered AR companion for equestrian training. Riders point a phone at their horse to surface live biometrics, hazards, and waypoints; trainers manage horses, training load, and health from a unified web console. Built for stables and federations across the UAE.
Why this project existed.
The problem
Equestrian training relies on paper logs, scattered apps, and the trainer's memory. Riders can't safely check biometrics mid-ride, trail hazards are spotted late, and trainers stitch session notes together by hand. There was no single view of horse, rider, and route in real time.
The solution
A mobile AR overlay shows the horse's heart rate, gait, load, and upcoming trail hazards while the rider keeps both hands on the reins. A web console gives the trainer a complete stable view — training load per horse, vet and farrier records, session logs — backed by AI suggestions for recovery and load balancing.
Built on a deliberate stack.
Every choice in this project was made for two horizons — fast iteration during build, and a 3-5 year operational life with minimal vendor lock-in.
Three views of the system.
Phone-based AR overlay for the rider — live biometrics, trail waypoints, and hazard markers without breaking stride.
Per-horse training-load chart, vet & farrier schedule, full session log. AI flags overtraining and recovery windows.
Interactive terrain map with mounted/dismount waypoints, elevation, and live rider position. Built for outdoor LTE coverage.
What changed for the team.
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