🧠 Tariff-Fashion ML Module

This Streamlit app predicts the price of a fashion product based on its features and suggests an optimal tariff bracket. Built as part of GSSoC 2025.

📊 Features

• Price prediction using trained ML model
• Tariff bracket suggestion (based on predicted price)
• Clean Streamlit UI
• Easy deployment on Streamlit Cloud

🛠 Tech Stack

• Python
• scikit-learn
• Streamlit
• joblib

📁 Folder Structure

Tariff-Fashion/ │ ├── src/ │ ├── data/
│ │ ├── fashion_dataset.csv │ │ ├── Tariff_fashion_cleaned.csv │ │ │ ├── eda/
│ │ └── tariff_fashion.ipynb │ │ │ ├── models/
│ │ ├── train_model.py │ │ └── model/
│ │ └── predictor.pkl
│ ├── app/
│ ├── app.py │ └── utils.py │ ├── requirements.txt ├── README.md └── .gitignore