Automated Bear Detection and Deterrent System - The goal of our project is to create a low-cost, non-lethal, solution designed to improve safety in residential areas due to the increase of bear activity in residential areas. This project integrates computer vision and embedded hardware to automatically detect bears and trigger deterrent responses in real time. A computer vision model was created by the CSE team which runs directly on a Raspberry Pi 5 and can detect a bear within approximately 40 ft; while the ECE team handles actuation and power management. We have addressed previous design limitations by improving upon system response time and creating stronger deterrent methods. Once a bear is detected, the system triggers a high-intensity strobe light and a high-decibel audio deterrent to repel the animal. These multimodal stimuli are designed to be more effective especially to bears who have become accustomed to common noises and sounds. The system operates on a single 12V DC power supply and a buck converter to improve power efficiency, reduce wiring complexity, and lower overall cost. The design also includes infrared imaging capabilities for nighttime detection and a weather resistant enclosure for reliable outdoor use. The project aims to deliver an accessible, autonomous solution that protects homeowners, pets, and property while ensuring safety and ethical wildlife interactions.