This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask

Pneumonia detection ML model

This repository contains note and references of Google Developer Student Club - ML Study Jams 2024 conducted at Charusat University, Anand, India

A powerful collection of end-to-end AI and Machine Learning projects using Python, covering intelligent chatbots, image and text classification, predictive analytics, deep learning with TensorFlow/Keras, real-time applications, and tools for automation, data science, and NLP tasks.