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Accepted Answer

Developed a web-based task management tool to enhance team collaboration and productivity.

Utilized React for the front-end to create a dynamic user interface.
Implemented Node.js and Express for the back-end API to handle data requests.
Integrated MongoDB for efficient data storage and retrieval.
Incorporated user authentication using JWT for secure access.
Enabled real-time updates with WebSocket for instant task notifications.

Accepted Answer

In one of my recent projects, I developed a web application focused on Face Detection using a combination of Python, Django, HTML, CSS, JavaScript, and OpenCV. The goal of the project was to create a user-friendly platform where individuals could upload images, and the system would employ face detection algorithms to identify and highlight faces within those images.

The technology stack included Python for backend development, Django as the web framework, and HTML, CSS, and JavaScript for the frontend. OpenCV, a powerful computer vision library, was integrated to implement the face detection functionality.

Users could easily upload images through the web application, and behind the scenes, the system would process these images using OpenCV's face detection algorithms. The detected faces were then highlighted, providing a visual representation of the identified facial features.

This project not only showcased my proficiency in web development and the specified technologies but also demonstrated my ability to implement complex functionalities, such as face detection, in a real-world application. It was an exciting project that allowed me to combine my skills in both frontend and backend development while addressing a practical and interesting problem

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