WDEFAS swiftly identifies wildlife using computer vision, activating electric fencing to mitigate conflicts. The YOLO model detects animals like elephants. Raspberry Pi communicates with Arduino Uno to regulate current for fencing, adjusting voltages based on detected species. Fencing deactivates when no wildlife is present, reducing conflicts.

This IoT-powered project utilizes advanced sensors and image processing to provide real-time parking space monitoring. An Android app informs users of available parking spots, reducing congestion and wait times. It enhances the parking experience for campus stakeholders, offering an efficient and flexible solution to traditional parking systems.

Advanced IoT monitoring system with NodeMCU, sensors, and mobile app for real-time water data analysis and responsible usage.