Human-wildlife conflicts are a growing concern in Tamil Nadu, where wild animals frequently damage farmlands, threatening crops and livelihoods. To address this issue, a robust monitoring and alert system is proposed, leveraging a PIR sensor and camera module for wildlife detection. The collected data is processed using a Raspberry Pi, connected via the Virtual Serial Port Emulator (VSPE) for efficient communication. Advanced machine learning (ML) models classify images into “wild animals” or “others,” enabling precise threat identification. On detecting wildlife, encrypted email notifications with images and Base64-encoded decryption keys are sent to forest officials and farm owners. A custom desktop application allows secure decryption and analysis of the images, ensuring prompt response. By integrating real-time monitoring, secure data handling, and effective communication, this system offers a scalable and user-friendly solution to minimize crop damage and improve human-wildlife coexistence.