🧠 Inspiration
Many small businesses lose customers without knowing why. Inspired by real-world challenges in customer engagement and retention, we built this AI-powered solution to help small business owners predict churn risk and take proactive action before losing customers.
⚙️ What It Does
The system predicts whether a customer is at high or low risk of leaving (churning). It includes real-time predictions, SHAP visual explanations, confusion matrix, and personalized retention advice.
🛠️ How We Built It
- Python + Streamlit
- Random Forest with scikit-learn
- SHAP for explainability
- Data preprocessing with pandas and NumPy
🚧 Challenges We Ran Into
- Handling missing values and categorical data
- Making AI explainable and usable for non-technical users
🏆 Accomplishments
- Fully working app with 80%+ accuracy
- Real-time visualizations and explainable AI
📚 What We Learned
- Full-stack AI development lifecycle
- Power of SHAP in business AI tools
🚀 What’s Next
- Add login, multilingual support, SMS alerts, and full deployment
Built With
- streamlit
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