Student Team
Vaanya Karel
CareTail Team
Akshara Gupta
CareTail Team
Anaisha Gourisaria
CareTail Team
An AI-powered veterinary remote patient monitoring system that combines wearable technology, real-time health tracking, and predictive analytics to improve animal healthcare.
Veterinarians lack a centralized, data-driven system to remotely monitor pets in real time and make informed clinical decisions using continuous health data.
Early signs of illness, stress, recovery complications, or behavioural abnormalities may go unnoticed until they become serious.
Veterinary care still relies heavily on short clinic visits and owner observations, which can fail to provide accurate continuous insight.
By integrating artificial intelligence and machine learning, CareTail continuously analyzes long-term health and behavioural trends, detects abnormalities, and generates early alerts for potential illnesses or emergencies.
Studies pet activity, sleep, movement, eating habits, and behavioural changes to identify unusual patterns early.
Compares live health data with historical veterinary datasets to predict obesity, anxiety, infections, or mobility risks.
Learns each pet’s normal routine and recommends nutrition, exercise, medication reminders, and preventive care.
Sends proactive alerts to pet owners and veterinarians for timely intervention before symptoms become severe.
Detects abnormal wearable readings compared with normal pet patterns.
Predicts Normal, Warning, or Critical risk from prototype pet health features.
Tracks recovery score and flags worsening recovery patterns.
Scores possible stress using behaviour changes.
Sorts multiple pets so the vet can review the most urgent cases first.
Creates a vet-facing summary from clinic visits and wearable trends.
Shows the complete flow from wearable readings to AI prediction and vet action plan.
CareTail shifts veterinary care from reactive treatment to proactive, preventive health monitoring.