Devaharsha Haresh

Motivated and enthusiastic BCA student specializing in Artificial Intelligence and Cloud Computing. Passionate about software development, database management, and emerging technologies. Seeking opportunities to apply technical skills and problem-solving abilities in real-world projects while continuing to learn and grow in the IT field.

Dog vs Cat Image Classification Dog and Cat Breed Classification

Developed a CNN-based image classification model to distinguish between dogs and cats using the Kaggle PetImages dataset (25,000 images). Implemented data augmentation, dropout, and kernel regularization to reduce overfitting and improve model generalization. The model was trained using TensorFlow and Keras with GPU acceleration and achieved stable training and validation performance. (DEVA0614/regularized_dog_vs_cat_classification)

Built a fine-grained image classification system for identifying dog and cat breeds using transfer learning with pretrained deep learning models. The project focused on improving accuracy, reducing training time, and handling multi-class classification challenges. (DEVA0614/regularized_dog_vs_cat_breed_classification)