Installation Clone the repository: git clone https://github.com/yourusername/animal-detection-app.git cd animal-detection-app

Install the required Python packages: pip install numpy opencv-python imutils playsound

Download the necessary model files: MobileNetSSD_deploy.prototxt.txt MobileNetSSD_deploy.caffemodel

Place the model files in the appropriate directory: C:\Users\yourusername\Downloads\animal-detection-using-ssd-algorithm-main\

Place the siren sound file in the appropriate directory: C:\Users\yourusername\Downloads\animal-detection-using-ssd-algorithm-main\Siren.wav

Usage Run the application: python animal_detection_app.py

Use the GUI to select a video file for processing. Click on "Start Detection" to begin the animal detection process. The application will display the video with detected animals highlighted and trigger a siren sound if an animal is detected.

Customization Detection Classes: Modify the REQ_CLASSES list in the start_detection function to detect different classes of objects. Confidence Threshold: Adjust the conf_thresh variable to change the confidence threshold for detection. Alert Sound: Change the siren_wav variable to use a different alert sound. Acknowledgments OpenCV for providing powerful computer vision tools. MobileNetSSD for the pre-trained model used in this project. License This project is licensed under the MIT License - see the LICENSE file for details.