• Piyusha Khandare
• Yogesh Handge
• Tanmay Thanvi
• Kshitija Gondhalekar
• Dhiraj Dharakhe

Image piracy on social networking platforms like Facebook and Instagram is a pervasive issue that undermines the intellectual property rights and financial well-being of creators. Unauthorized use of images without consent not only diminishes the value of their work but also deprives them of rightful recognition and compensation. In this context, the development of an image piracy detection app presents a compelling solution to this pressing problem. By leveraging cutting-edge technology, such as advanced image recognition algorithms and watermark detection, the app can efficiently identify instances of infringement. Moreover, its integration with social media platforms' APIs streamlines the reporting and removal process, empowering creators to take swift action against violators. Furthermore, the app serves as an educational resource, equipping creators with the knowledge and tools necessary to protect their intellectual property rights effectively. In essence, the image piracy detection app represents a vital step towards safeguarding creators' interests and fostering a more equitable digital environment for creative expression.

Deep Learning, Facebook, Instagram, and image piracy detection

"IMAGE PIRACY DETECTION ON SOCIAL MEDIA PLATFORMS SUCH AS INSTAGRAM AND FACEBOOK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.k456-k467, March-2024, Available :http://www.jetir.org/papers/JETIR2403A59.pdf

"IMAGE PIRACY DETECTION ON SOCIAL MEDIA PLATFORMS SUCH AS INSTAGRAM AND FACEBOOK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppk456-k467, March-2024, Available at : http://www.jetir.org/papers/JETIR2403A59.pdf