Create README.md

Author: pranavvb03

NLP projects/README.md

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+# Ecommerce product categorization
+
+## Goal
+This project implements an automated product categorization system for e-commerce platforms using Natural Language Processing (NLP) and Machine Learning (ML) techniques. The system analyzes product descriptions, titles, and metadata to automatically assign products to the most relevant categories. The solution handles large datasets, and continuously improves product discoverability and categorization consistency.
+
+## Introduction
+Product categorization is the task of classifying products as belonging to one or more categories from a given taxonomy.It helps customers navigate an ecommerce store with ease. It deals with organizing our ecommerce products into categories and tags that give us a system to get customers to the exact product they are looking for quicker. This includes creating categories, tags, attributes and more to create a hierarchy for similar products. 
+
+## Table of Contents
+Dataset
+Usage
+Data and Preprocessing
+Model Overview
+Results
+Contributing
+Future Enhancements
+License
+
+## Dataset
+The dataset used in this project is sourced from Kaggle(https://www.kaggle.com/datasets/sumedhdataaspirant/e-commerce-text-dataset) . It consists of >50000 records for 4 categories - "Electronics", "Household", "Books" and "Clothing & Accessories", which cover almost 80% of any E-commerce website.