Churn Prediction with Artificial Neural Network (ANN)

This project is a Churn Prediction web application built using Streamlit and an Artificial Neural Network (ANN) model trained with TensorFlow/Keras. It allows users to either upload a CSV file of customer data for batch prediction or manually enter customer details for single prediction.

Features

• Dual Input Mode:
  • Upload CSV file for batch predictions.
  • Manually enter customer details for single prediction.
• Real-time predictions using a pre-trained ANN model.
• One-Hot Encoding for categorical variables (Geography and Gender) matches model training.
• Intuitive user interface with clear instructions.

Files in this Repository

• app.py: The main Streamlit app script.
• model.h5: The pre-trained Artificial Neural Network model.
• requirements.txt: List of dependencies for the project.
• README.md: Project documentation (this file).

How to Run Locally

1. Clone the Repository:

   git clone https://github.com/TeeArch/Churn-Prediction-Model.git
   cd Churn-Prediction-Model