ChurnGuard is an AI-powered customer churn prediction system where a machine learning model was developed to analyze customer behavior and predict churn risk. The model is integrated with a FastAPI backend and an interactive web dashboard to provide churn probability, customer priority scoring, and actionable retention insights in real time.

Free, open-source churn prediction for SaaS - plug in your data and know who's leaving before they do

A machine learning model to predict customer churn for a subscription service, demonstrating the full data science workflow.

"ChurnGuardML: Un projet de machine learning visant à prédire le désabonnement des clients pour les fournisseurs d'accès à internet. Explorez, entraînez et évaluez des modèles pour anticiper le churn, et découvrez des stratégies ciblées de rétention des clients. 🚀"

ChurnGuard is an Artificial Neural Network (ANN)-based customer retention model designed to predict customer churn for businesses. By leveraging various customer demographic and behavioral data, this system helps identify customers at high risk of churning, enabling proactive intervention and targeted retention strategies.

A machine learning pipeline to predict customer churn using structured CRM data. This project uses feature selection, data balancing (SMOTE), and an XGBoost classifier to identify customers at high risk of leaving.

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Explainable customer churn prediction using machine learning

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This project uses a Keras-built artificial neural network to predict customer churn. The system preprocesses data using Scikit-learn for feature scaling and encoding, and the trained model is serialized with HDF5 and Pickle. A local Streamlit interface allows for running inference on user-submitted data.

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Telcos Churn Analysis

ChurnGuard AI is a full-stack ML application that identifies at-risk customers using high-performance classification models. It transforms raw telecom data into actionable retention strategies through a modern, interactive dashboard.

End-to-End Customer Churn Intelligence Platform with Explainable AI, Segmentation, NLP and Deep Learning

An end-to-end data pipeline for customer churn prediction using Python, Flask, and Snowflake.

Predict Bank Customer Churn using ANN

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Project consist of developing a classification model that predicts whether a customer will churn, so that the company can proactively design retention strategies to keep these customers, thereby improving customer satisfaction and reducing financial loss.

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ChurnGuard AI is a full-stack predictive analytics dashboard that identifies at-risk customers before they leave. By combining a Random Forest Machine Learning model with a high-performance React/Tailwind dashboard, this tool transforms complex data into actionable retention strategies.

ChurnGuard is a customer churn prediction web application that helps businesses identify customers likely to leave their services. By collecting key customer details such as age, gender, tenure, contract type, and service usage, it provides predictive insights using machine learning models.

ChurnGuard is an AI-powered customer churn prediction system where a machine learning model was developed to analyze customer behavior and predict churn risk. The model is integrated with a FastAPI backend and an interactive web dashboard to provide churn probability, customer priority scoring, and actionable retention insights in real time.

The ChurnGuard Project is a machine learning initiative aimed at predicting customer churn for an African telecommunications company. It empowers providers to proactively retain customers with predictive analytics.

ChurnGuard

ChurnGuard

churnguard-ai

ChurnGuard AI

ChurnGuard 2.3