Overview Welcome to our Text Summarization Project! This Readme provides a comprehensive understanding of our project’s purpose, goals, requirements, methodology, architecture, pipeline, and conclusion. 1. Model Overview Our project focuses on creating a text summarization model using the Samsum dataset. The main objective is to automate the process of summarizing lengthy pieces of text while retaining their key information and meaning. Leveraging machine learning techniques, our model aims to produce concise and coherent summaries.

1.Overview This design doc outlines the development of a web application for Image Classification using a synthetic dataset. The application will utilize Deep learning models that: Evaluates whether the Image will Cat or Dog based on process parameters, different sizes, orientations, or backgrounds. This documentation presents the development of an image classification model using Convolutional Neural Networks (CNN) to distinguish between images of cats and dogs. The model is designed to analyze the unique features of cat and dog images and accurately predict the class of a given input image.