PAN Card Tempering Detector

This project is a Flask web application designed to detect tempering in PAN card images. The application allows users to upload images of PAN cards and uses image processing techniques to determine if the card has been tampered with.

Steps to Run the Application

Step 1: Clone the Project

Clone the repository to your local machine.

Step 2: Navigate to the Project Directory

Open a command prompt and change your current path to the folder where you can find the app.py file.

Step 3: Create a Virtual Environment

Create a virtual environment using the command below:

conda create -name <environment_name>

Step 4: Activate the Virtual Environment

Activate the environment with the following command:

conda activate <environment_name>

Step 5: Install Required Dependencies

Use the command below to install the required dependencies:

python -m pip install -r requirements.txt

Step 6: Run the Application

Run the application using the command:

python app.py

You will get a URL. Copy it and paste it into your browser to access the web application.

Step 7: Test with Sample Data

You have a sample_data folder where you can find images to test the application.

Screenshot

Project Structure

app/: Contains the main application code.
- __init__.py: Initializes the Flask app.
- views.py: Contains the view functions/routes.
- templates/: Contains HTML templates.
config.py: Configuration file for the Flask app.
requirements.txt: Lists the dependencies required for the project.
app.py: The main entry point of the application.

License

This project is licensed under the MIT License.

Acknowledgements

Flask documentation
OpenCV documentation
Any other resources or libraries used

Deployment

You can view the live application here.

Xmen3em/PAN-Card-Tempering-Detector-App