Browsing by Author "Muhammad Ali and Danish Jameel"

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    AI deep fake
    (UMT, Lahore, 2024) Muhammad Ali and Danish Jameel
    The "AI Fake Detection" project addresses the challenge of misinformation and AI-generated content, enhancing the integrity and safety of online platforms. Developed with Django, this web-based solution allows secure sharing of images, videos, and text, utilizing advanced AI technologies. The platform employs Convolutional Neural Networks (CNN) and Deep Neural Networks (DNN)to classify user-generated content as positive or negative, distinguishing genuine material from falsified content. Additionally, a Computer Vision (CV)-powered "Detect" feature verifies the authenticity of facial images, identifying AI-generated representations. Incorporating robust cybersecurity measures and Natural Language Processing (NLP)capabilities, the platform protects user data and ensures data integrity. By analyzing metadata and using advanced encryption protocols, it mitigates potential threats and manipulative practices. Through stakeholder engagement, the project addresses the needs of organizations, content creators, users, developers, and data scientists, fostering collaboration for a secure and trustworthy online environment. The "AI Fake Detection" project signifies a major step toward ensuring authenticity and transparency in digital content sharing, leveraging AI and cybersecurity to promote