PawSense: AI-IoT Enabled Smart Pet Care for Real-Time Health Monitoring

Next generation AI systems required for intelligent pet care would have to be capable of real time health monitoring, prevent diagnostics and automated well-being management to meet the rising need for health management of pets. In this article, I am going to describe a mobile app based on Flutter which integrates with AI driven IoT data for reimagining pet monitoring by means of real time anomaly detection, adaptive behaviour tracking, as well as automated care suggestions. The pet health data is collected from multi sensor IoT wearables and such collected data is then analyzed with the help of deep learning algorithm to check and predict early illness and to provide the predictive wellness insights. Hybrid cloudedge architecture effectively processes the data at reduced latency with a preserved scalability and fault tolerance of the underlaying clouds. The Flutter app has smooth communication between pet owners and healthcare professionals with an interactive dashboard, live health data, teleconsultation with a veterinarian and emergency alarms. The use blockchain data integrity mechanisms gives extra security by preventing manipulation and unauthorized access. The suggestion engine is AI-driven and customises to pets based on their lifestyle, their breed and their environmental factors. Results of comparative performance research indicate that real-time monitoring combined with AI driven prediction provide more and higher quality of information in terms of data security and accuracy of prediction than traditional pet care solutions. This ecosystem will improve in the future, by the means of context aware AI model, autonomous robotic pet assistance, cross platform interoperability etc. This technology makes use of AI, IoT, blockchain security and mobile app intelligence to offer pet owners a brand new paradigm in pet care experience enabled through scalable solutions, secure access, and a user centric and personalized pet health monitoring solution for the pets around the world.

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Publication Details

Published
2025-05-21
DOI
https://doi.org/10.1109/icaiss61471.2025.11042163
Primary Topic
Smart Systems and Machine Learning
Type
article
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article

PawSense: AI-IoT Enabled Smart Pet Care for Real-Time Health Monitoring

Gayatri Aravind, S. Jeeva, Sasirekha S.P, D Selvaganesh
Smart Systems and Machine Learning
article

PawSense: AI-IoT Enabled Smart Pet Care for Real-Time Health Monitoring

Gayatri Aravind, S. Jeeva, Sasirekha S.P, D Selvaganesh
article en

Abstract

Next generation AI systems required for intelligent pet care would have to be capable of real time health monitoring, prevent diagnostics and automated well-being management to meet the rising need for health management of pets. In this article, I am going to describe a mobile app based on Flutter which integrates with AI driven IoT data for reimagining pet monitoring by means of real time anomaly detection, adaptive behaviour tracking, as well as automated care suggestions. The pet health data is collected from multi sensor IoT wearables and such collected data is then analyzed with the help of deep learning algorithm to check and predict early illness and to provide the predictive wellness insights. Hybrid cloudedge architecture effectively processes the data at reduced latency with a preserved scalability and fault tolerance of the underlaying clouds. The Flutter app has smooth communication between pet owners and healthcare professionals with an interactive dashboard, live health data, teleconsultation with a veterinarian and emergency alarms. The use blockchain data integrity mechanisms gives extra security by preventing manipulation and unauthorized access. The suggestion engine is AI-driven and customises to pets based on their lifestyle, their breed and their environmental factors. Results of comparative performance research indicate that real-time monitoring combined with AI driven prediction provide more and higher quality of information in terms of data security and accuracy of prediction than traditional pet care solutions. This ecosystem will improve in the future, by the means of context aware AI model, autonomous robotic pet assistance, cross platform interoperability etc. This technology makes use of AI, IoT, blockchain security and mobile app intelligence to offer pet owners a brand new paradigm in pet care experience enabled through scalable solutions, secure access, and a user centric and personalized pet health monitoring solution for the pets around the world.

Karpagam Academy of Higher Education (IN)
Openalex Percentile: Top 84%
Smart Systems and Machine Learning
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PawSense: AI-IoT Enabled Smart Pet Care for Real-Time Health Monitoring — Gayatri Aravind, S. Jeeva, et al. · (2025) | TGRS Research Map | TGRS