This chapter aims to create a system that uses AI and IoT technologies to monitor and understand chicken behaviors. It will use computer vision and machine learning to recognize common actions like pecking, scratching, resting, and feeding. The system will also track environmental factors such as temperature, humidity, and light to see how they affect behavior. Farmers will get real-time updates and insights through an easy-to-use dashboard or mobile app. Additionally, the system will keep improving over time by using advanced deep learning to make behavior detection more accurate and dependable. The system will use advanced deep learning models to detect chicken behaviors in real time. To ensure accurate results, it will rely on datasets with labeled examples of different chicken actions for precise training. It will also identify unusual behaviors, such as reduced feeding, and send timely alerts to help farmers take preventive steps. Based on the behavior analysis, the system will offer actionable suggestions to address potential issues.