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AI-Powered Smart Pet Bowl

Revolutionary pet hydration monitoring using ESP32, AI vision technology, and advanced sensors. Automatically detect, identify, and track your pet's water consumption with precision.

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AI Vision Pet Recognition
ESP32 Powered
SDSU Engineering
Smart Pet Bowl System Screenshot
ESP32 Powered
YOLOv8 AI
IoT Connected

Advanced Engineering Features

Cutting-edge technology from Team P.A.W.S at SDSU

AI Vision Recognition

Custom YOLOv8 model running on Grove AI Vision Module automatically identifies which pet is drinking.

ESP32 Microcontroller

Powerful ESP32 processes sensor data, manages WiFi communication, and coordinates all system components.

Multi-Sensor System

Ultrasonic level sensor, motion detection, and water pump integration for comprehensive monitoring.

Real-time Analytics

Raspberry Pi Zero W hosts local dashboard for immediate data visualization and analysis.

Custom PCB Design

Professional PCB integrates all components efficiently while maintaining sub-$100 cost target.

Engineering Excellence

Senior Design project showcasing embedded systems, machine learning, and IoT integration.

About Team P.A.W.S

Developed by Team P.A.W.S (ECE Team 5) at San Diego State University's College of Engineering for the EE/COMPE 491W Senior Design course, sponsored by Dr. Hidenori Yamada.

Our interdisciplinary team combines Computer Engineering expertise (Tri Bui, Abdulmohsen Almunayes) with Electrical Engineering knowledge (Ehren Abeto, Brandon Lord, Zachary Xavier Encarnacion) to create this innovative pet health monitoring solution.

Custom YOLOv8 AI model for pet identification
ESP32 and Raspberry Pi Zero W integration
Professional PCB design under $100

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Academic project updates and development progress only.