lakshay567/Women-cloth-prediction

👗 Women Clothing Review Sentiment Predictor

An intuitive, AI-powered web app that analyzes customer reviews on women’s clothing to predict sentiment — whether a review is positive or negative. Built with machine learning and Streamlit, this project is ideal for showcasing data science and NLP capabilities.

📋 Project Overview

This application serves as a product review analyzer for e-commerce or retail clothing platforms. It enables businesses and analysts to:

• —Understand customer sentiment at scale
• —Gain insights from reviews automatically
• —Prioritize product improvements based on feedback tone

🔑 Features

✨ Review Sentiment Analysis

• —Accepts user-written reviews as input
• —Uses a trained ML model to classify sentiment
• —Displays result as either 😊 Positive or ☹️ Negative

🔎 Missing Review Handling

• —Automatically fills in missing reviews with a neutral placeholder
• —Ensures robustness even with incomplete data

🛠️ Tech Stack

📊 How It Works

1. 1.Preprocessing
2. 2.Handles missing or empty reviews using pandas
3. 3.Applies TF-IDF vectorization to convert text to numerical features

1. 1.Model Prediction
2. 2.Loads a pre-trained sentiment classification model
3. 3.Classifies reviews into positive or negative based on learned patterns

1. 1.User Interface
2. 2.Allows users to input a review
3. 3.Displays the sentiment prediction in a friendly UI

🙌 Contributing

Contributions are welcome! Help improve the prediction model, add new features, or enhance the UI.

1. 1.Fork the repository
2. 2.Create a feature branch
3. 3.Submit a pull request with your improvements