System and Method for Real-Time Animal Training and Welfare Management

A computer-implemented method for real-time animal training and welfare management, the method comprising executing, by a computer system having a hardware memory, software instructions stored on nontransitory machine-readable storage media to:

• receive non-human animal brainwave data and biometric data;
• process the non-human animal brainwave data and biometric data through a machine-learning system, wherein the machine-learning system is configured to:
• isolate one or more neural patterns in the non-human animal brainwave data;
• associate the one or more neural patterns with an emotional state of a non-human animal;
• determine a cognitive condition based on the emotional state;
• determine at least one of a training state, a welfare rating, or a predictive health condition based on the cognitive condition and biometric data;
• generate an output signal indicative of the determined cognitive condition, wherein the output signal comprises at least one of an audio signal, a visual signal, a haptic signal, an olfactory signal, a neural stimulation signal, or an ultrasonic reinforcement cue;
• adjust an environmental parameter based on the cognitive condition, wherein the environmental parameter comprises at least one of temperature, humidity, ambient noise level, lighting condition, or multimodal sensory enrichment;
• generate a communication alert to a designated recipient based on the cognitive condition, wherein the designated recipient comprises at least one of a caretaker, veterinarian, emergency responder, operational handler, or robotic task assistant;
• modify a training sequence using reinforcement learning-based adaptation, wherein the training sequence is adjusted based on real-time biometric feedback, detected cognitive workload, or reinforcement effectiveness;
• translate non-human neural activity into structured communication outputs, wherein the structured communication outputs include neural embeddings mapped to an interspecies translation model;
• and
• render and present an auditory or visual form of at least one of the cognitive condition, training state, welfare rating, predictive health condition, environmental adjustment, training adaptation, or interspecies communication output on an output device of the computer system.