Video Steganography Using Machine Learning with Python

In the digital age, safeguarding sensitive information is paramount. This project, "Video Steganography Using Machine Learning with Python," introduces an innovative method to conceal one video within another, secured by dual authentication. Users submit a "cover video," a "hide video," a unique password, and an audio clip for validation. Utilizing Convolutional Neural Networks (CNNs), the approach seamlessly embeds the hide video into the cover video by leveraging CNNs’ capability to analyze spatial relationships in visual data. Recovery of the hidden video requires the correct password and audio clip, ensuring robust security. This method advances data protection through cutting-edge machine learning techniques. Key Words: Video steganography, Convolutional Neural Networks, authentication, data security.