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African Wildlife Classifier

An AI-powered image classifier that identifies African wildlife species with 95.6% accuracy using a fine-tuned AlexNet model.

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African Wildlife Classifier is an AI-powered image classifier that excels in identifying African wildlife species with 95.6% accuracy. It employs a fine-tuned AlexNet deep learning model to classify four iconic African safari animals with real-time confidence scores.

Features

  • Identifies 4 African wildlife species: Buffalo, Elephant, Rhino, Zebra
  • Fine-tuned AlexNet architecture with 95.6% validation accuracy
  • Real-time image classification with confidence scores
  • Interactive web interface for wildlife enthusiasts

Skills Used: PyTorch, Gradio, AlexNet, Computer Vision, Deep Learning, Python