Feature request

[kskeertana]

Is your feature request related to a problem? Please describe.

Currently, the face detection application lacks robust error handling mechanisms, which may lead to unexpected crashes or errors when encountering invalid inputs or runtime issues.

Describe the solution you'd like

I would like to implement comprehensive error handling mechanisms in the face detection application to gracefully handle exceptions and provide informative error messages to users. This will enhance the application's reliability and user experience by preventing crashes and guiding users on how to resolve potential issues.

Describe alternatives you've considered

One alternative solution is to rely on Python's built-in exception handling mechanisms, such as try-except blocks, to catch and handle errors. Approach to be followed (optional)

Identify potential error scenarios in the face detection application, such as invalid file paths, missing cascade classifier files, or runtime errors during image processing. Implement robust error handling mechanisms using try-except blocks and custom error messages to handle each identified scenario gracefully. Provide informative error messages to users, indicating the nature of the error and suggesting possible solutions or troubleshooting steps. Test the error handling functionality rigorously to ensure that it effectively captures and handles all expected error scenarios without compromising the application's performance or functionality. Additional context

By enhancing the error handling capabilities of the face detection application, we can improve its reliability, usability, and user satisfaction, ultimately enhancing the overall quality of the application.

[github-actions[bot]]

Hello @kskeertana, Thank you for generating an issue to this project! Please wait while we get back to you.

[kskeertana]

Hi @akshitagupta15june I want to work on this issue ,could you please assign this for gssoc