Abstract
The present disclosure relates to a unified, multi-modal, adaptive platform configured to monitor and analyze the needs of human infants and domestic pets. The system utilizes a sensing module to capture audio, video, and environmental data, which is processed through a hybrid edge and cloud computing architecture. By employing deep multi-modal data fusion, the system integrates synchronized feature vectors to infer specific subject needs. The platform generates ranked, actionable recommendations for caregivers and incorporates a reinforcement learning feedback loop to personalize suggestions based on subject-specific responses.
Keywords: Caregiving, Multi-modal Data Fusion, Artificial Intelligence, Reinforcement Learning, Infant Monitoring, Pet Monitoring.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gaikar, Kshitij Suresh, "Unified Multi-Modal Adaptive Caregiving Assistance Platform", Technical Disclosure Commons, (January 18, 2026)
https://www.tdcommons.org/dpubs_series/9196