This repository contains Final project of CSE428 Brac University
This project classifies ECG Signal as AF(Atrial Fibrillation) or Non-AF(All other rhythms).This project consist of 2 different models. A custom cnn and a transfer learning model. These model are doing the same thing with different approaches.
a robust method of classification and recognition of coffee leaf diseases using both classical ma learning and deep learning methods, also a custom CNN. These methods were evaluated on the Arabica coffee leaf dataset known as JMuBEN.
Refactory Final
This project is a deep learning-based image classification system that uses EfficientNet for accurate identification of fruits and vegetables from uploaded images. Built with TensorFlow and deployed using Streamlit, it provides a user-friendly interface, confidence scores, and visualization of predictions.
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