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This project presents the design and development of an AI-powered Animal Deterrent System intended to reduce human-wildlife conflict through a non-lethal, sustainable, and adaptive approach. Existing deterrent methods are often either harmful to animals or ineffective over time due to habituation. To address this problem, the proposed system integrates a four-wheel-drive tele-operable robotic platform with machine vision, telemetry, and a graphical user interface to detect and respond to wildlife activity in real time. The system is designed to identify four target species—tigers, monkeys, snakes, and elephants—and activate suitable deterrent responses using a combination of harmless sound, light, and scent-based methods tailored to species-specific behaviour. The project was developed through four integrated modules: deterrent design, machine vision, telemetry, and GUI development, each supported by literature review, component comparison, implementation, and testing. The completed system demonstrates successful integration between animal detection, movement control, and automated deterrent activation. In addition to the technical development, the project also considers professional engineering practices, sustainability, safety, and commercialization potential. Overall, the system offers a practical and ethical solution for wildlife management, supporting safer human-animal coexistence while aligning with sustainable development goals related to life on land and responsible production