"SmartCart" π is a game-changer for e-commerce, designed to revolutionize online shopping with predictive insights π―. It's perfect for e-commerce businesses looking to up their game by understanding customer behaviors π, providing tailored recommendations π, and optimizing sales strategies π‘. 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 π.
- Personalized Recommendations π: Offers tailored product suggestions based on customer behavior.
- Market Basket Analysis ποΈ: Utilizes Association Rules and algorithms like FPGrowth for insightful correlations.
- Seasonal Trend Analysis π : Identifies and analyzes buying patterns across different seasons.
- User-Friendly Web App π»: Provides an intuitive platform for businesses to access insights and recommendations.
![Video Title](/Smit1400/SmartCart_MBA/raw/main/media/click.png)
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
Client: Streamlit
Server: Python
ML: Scikit-learn, Pandas, Numpy, mlxtend, Tensorflow
If you have any feedback, please reach out to me at [email protected]