Projects

Flower Image Classifier (CNN with TensorFlow/Keras)

  • Developed a convolutional neural network to classify flower images into 5 categories with ~92% validation accuracy

  • Used data augmentation and preprocessing to boost generalization and reduce overfitting

  • Built a full prediction pipeline to test custom images and evaluate real-world performance

  • Applied TensorFlow, Keras, and Matplotlib for training, evaluation, and visualization

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ART Labs

  • Currently in Development!

  • Will share progress as it comes!