Installation Guide
Follow these steps to set up and run the Credit Card Fraud Detection project on your computer.
Step 1: Check Requirements
Make sure Python 3.10 or higher is installed on your system. You can verify this by running the command below.
python --version
Step 2: Extract and Open the Project
Extract the downloaded project ZIP file and open the project folder in your terminal or command prompt.
cd credit-card-fraud-detection
Step 3: Create a Virtual Environment
Create an isolated Python environment so the project dependencies stay separate from your system.
python -m venv venv
Step 4: Activate the Virtual Environment
On Windows, run the following command.
venv\Scripts\activate
On Linux or macOS, run this instead.
source venv/bin/activate
Step 5: Install Dependencies
Install all the required libraries listed in the requirements file.
pip install -r requirements.txt
Step 6: Add the Dataset
Download the credit card transaction dataset (creditcard.csv) and place it inside the data folder of the project.
Step 7: Train the Machine Learning Models
Run the training script. This will preprocess the data, balance the classes, train the models, and save the best one.
python train_model.py
Step 8: Run the Web Application
Start the Flask server with the command below.
python app.py
Step 9: Open in Browser
Open your web browser and go to the address shown in the terminal to use the application.
http://127.0.0.1:5000
You Are Done
The application is now running. You can try single transaction prediction, upload a CSV file for batch prediction, and explore the analytics dashboard.
Need Help?
Our team is here to assist you with installation and setup.