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deep-learning-models

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A comprehensive deep learning-based system for the automated classification of skin diseases, leveraging convolutional neural networks to assist healthcare professionals in early diagnosis and treatment.

  • Updated Dec 8, 2025
  • Jupyter Notebook

This project demonstrates how to build an image classification model using Convolutional Neural Networks (CNNs) to classify images into predefined categories. It covers data preprocessing, model building, training, and evaluation steps.

  • Updated Feb 13, 2025
  • Jupyter Notebook

Real-time traffic sign recognition and classification system using hybrid Vision Transformer (ViT) and ResNet34 models. Achieves ~92% accuracy with YOLOv8-labeled data preprocessing and PyTorch-based inference pipeline.

  • Updated May 5, 2024
  • Jupyter Notebook

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