Customer Churn Predictor App

A machine learning-powered web application that predicts customer churn risk in real-time, helping businesses proactively retain valuable customers

Live Demo

Try the Live App on Streamlit Cloud

What It Does

• Predicts churn risk using a trained ML model
• Accepts user inputs like age, tenure, tickets, web usage, etc.
• Provides churn probability + risk level
• Built for executives and analysts to take proactive action
• Designed with real-world data flow in mind

Tech Stack

• Python- Data processing & model development
• Scikit-learn- ML model training & prediction
• Streamlit-Web app UI and deployment
• Pandas/Numpy-Feature handling
• Joblib-Model serialization
• Git + GitHub- Version control & collaboration

Model Overview

• Trained on synthetic customer data simulating CRM, transaction, and usage info
• Achieved good baseline metrics and interpretable outputs
• Churn prediction based on multiple inputs like - Tenure - Ticket history - Web activity - & Financial engagement