A smart and powerful AI-based wildlife monitoring system that detects wild animals like elephants, lions, tigers, and more using your webcam — and instantly plays an alert sound 🔊 when one is detected.
This project helps forest officers and wildlife teams monitor real-time video feeds to detect wild animals automatically.
If a dangerous animal appears, the system raises an alert — preventing potential harm to humans or property.
- 🧠 TensorFlow + Keras – Deep learning for animal classification
- 🎥 OpenCV – Capturing and processing camera frames
- 🎵 Playsound – Triggering instant alerts
- ⚙ Teachable Machine – Quick and easy model training
✅ Detects multiple wild animals (Elephant, Lion, Tiger, etc.)
✅ Ignores humans, pets, and background motion
✅ Plays sound alerts for wild animals only
✅ Real-time detection via webcam
✅ Easy to customize with your own trained model
Trained on Google’s Teachable Machine using custom classes:
- 🐘 Elephant
- 🦁 Lion
- 🐯 Tiger
- 🐆 Cheetah
- 🐻 Bear
- 🦍 Gorilla
- 🦏 Rhino
- 🐺 Hyena
- 🚫 Non-Targets (humans, cats, dogs, etc.)
- 🌿 Background
- Captures live frames from the webcam
- Resizes and normalizes images
- Predicts animal type and confidence
- If confidence > 80% and class is wild → plays alert sound
When a target animal is detected, alert.mp3 plays instantly 🔊
pip install opencv-python tensorflow playsound==1.2.2 numpy
2️⃣ Folder Structure
Animal_Detector/ │ ├── main.py ├── keras_model.h5 ├── labels.txt ├── alert.mp3 └── banner.png ← (upload this image file here later)
3️⃣ Run the Project
python main.py
Press ‘Q’ to stop the camera feed.
🚀 Future Enhancements
📱 Send alerts to phone via SMS or WhatsApp ☁ Upload detections to a cloud dashboard 🕹 Integration with drones or CCTV 🧠 Improve accuracy with transfer learning
👨💻 Author
Mohammed Arshad 💻 Wildlife AI Enthusiast | Data & AI Learner 🌍 GitHub Profile