Contributed to the opencv/opencv repository by enhancing both documentation accuracy and deep learning functionality. Addressed a longstanding issue in the documentation by clarifying that CAP_PROP_CONVERT_RGB converts to BGR, improving API clarity for users. Expanded the DNN module’s capabilities by implementing support for the TFLite Minimum layer, including comprehensive tests to ensure correct integration and cross-platform compatibility. Leveraged expertise in C++, computer vision, and deep learning to deliver targeted improvements that streamline model deployment and developer experience. The work demonstrated attention to detail in both code and documentation, focusing on correctness and maintainability within the OpenCV codebase.