SmartCart 🛒

"SmartCart" 🛒 is a game-changer for e-commerce, designed to revolutionize online shopping with predictive insights 🎯. It's perfect for e-commerce businesses looking to up their game by understanding customer behaviors 📊, providing tailored recommendations 🎁, and optimizing sales strategies 💡. By leveraging advanced data analysis, SmartCart helps businesses connect with their customers like never before, making it an essential tool for anyone in the e-commerce industry aiming to stay ahead of the curve 🚀.

Features

• Personalized Recommendations 🎁: Offers tailored product suggestions based on customer behavior.
• Market Basket Analysis 🛍️: Utilizes Association Rules and algorithms like FPGrowth for insightful correlations.
• Seasonal Trend Analysis 📅: Identifies and analyzes buying patterns across different seasons.
• User-Friendly Web App 💻: Provides an intuitive platform for businesses to access insights and recommendations.

Demo

Run Locally

Clone the project

  git clone https://github.com/Smit1400/SmartCart_MBA

Go to the project directory

  cd SmartCart_MBA

Install dependencies

  pip install -r requirements.txt

Start the server

  streamlit run app.y

Tech Stack

Client: Streamlit

Server: Python

ML: Scikit-learn, Pandas, Numpy, mlxtend, Tensorflow

Authors

• @smit1400

Feedback

If you have any feedback, please reach out to me at shahsmit01042000@gmail.com

Acknowledgements

• Streamlit
• mlxtend