/Integrated-Bank-Customer-and-Credit-Card-Holder-Churn-No-Churn-Analysis-System-

Final year project: Dataset gathered, cleaned, and customer classified. Administrator registers, logs in with credentials and OTP, enters customer details to evaluate churn status. Churn Reports can be downloaded, and Tableau provides interactive visualizations for feature correlation. For more details please find the Research Paper link in readme.

Primary LanguageJupyter Notebook

Integrated-Bank-Customer-and-Credit-Card-Holder-Churn-No-Churn-Analysis-System

Research Paper :

Integrated-Bank-Customer-and-Credit-Card-Holder-Churn-No-Churn-Analysis-System

Tech Used Tools Used
Python 3.0 Microsoft Visual Studio Code
Flask Framework Tableau DeskTop
HTML , CSS , JavaScript Jupyter Notebook
BootStrap 5 MySQL WorkBench
JQuery Chrome Browser
Machine Learning
Data Visualization
MySQL Database

System Modules

Home Page

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Admin SignUp/Login Portal

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OTP Verification Page

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Administrator DashBoard

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Bank Customer Churn Prediction Portal

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Predict Churn Status After Entering Customer Data

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Generating Bank Customer Churn Report.

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Credit Card Customer Churn Prediction Portal

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Generating Report On Customer With Credit Card Services

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Bank Customer Churn Analysis- Data Visualization Using Tableau Storyboarding

Demographic Variables - Analysis through Visual exploration of Data

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Comparative Analysis: Churn vs No-Churn

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Customers With Credit Card Services Churn Analysis- Data Visualization Using Tableau Storyboarding

Comparing Demographic Variables

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Comparative Analysis: Churn vs No-Churn

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Flask Framework (Static and Template Files VSCode Platform)

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MySQL Database Management for Admin data and Customer data

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Jupyter Notebook

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