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vgg19-model

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The Eye Disease Classification project aims to develop a robust model for the automated classification of retinal images . Leveraging a diverse dataset sourced from reputable repositories, the project employs a Convolutional Neural Network (CNN) architecture, with a focus on utilizing the pre-trained VGG19 model.

  • Updated Dec 26, 2023
  • Jupyter Notebook

The dataset having Pneumonia and Normal chest X-Ray images were trained on different numbers of epochs to check the variability in the training and validation accuracies. The ResNet50 model with the highest and closest Training and Validation accuracies was then used for the prediction.

  • Updated Sep 6, 2022
  • Jupyter Notebook

This repository contains hands on implementation of AI/ML concepts, algorithms from scratch including CNN,NLP and more. Some Key Projects includes : Hate Speech Detection(NLP) and Bengali Sign Language Classification(CNN).

  • Updated May 16, 2025
  • Jupyter Notebook

This project classifies smoking images using VGG19 with data augmentation, and Captum for model explainability, identifying key features per prediction.

  • Updated Oct 31, 2024
  • Jupyter Notebook

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