Using Various ML/DL models to detect the fake news.

This repository contains a Convolutional Neural Network (CNN) project trained on the Oxford-IIIT Pet Dataset . The dataset includes 37 pet breeds (cats and dogs) with approximately 200 images per class. The project applies transfer learning with EfficientNet-B6 to perform fine-grained image classification.

This project is a real-time ASL (American Sign Language) gesture classifier built using TensorFlow and Xception. It supports both webcam-based prediction with OpenCV and image upload via a Streamlit web interface. The model can classify 29 hand gestures including alphabets, space, del, and nothing, and displays confidence scores for each prediction