• Akshata Dharmadhikari
• Prerna Jadhav
• Devansh Mehta
• Niraj Mistry
• Nancy Nadar

It is challenging for people with less technical expertise to manage file size limitations when uploading files on the web. Existing third-party solutions usually come with privacy issues and complex processes. This project proposes a Chrome extension that directly automates file extraction, compression, and reintegration within the browser. The extension compresses files such as PDFs, images while maintaining quality and ensuring compliance with size limits. Techniques like font subsetting and metadata removal optimize compression for diverse file types, including JPEG, PNG, and PDFs. Key features include automatic file detection, real-time compression feedback, and user-friendly integration within web forms. The extension also offers additional functionality, such as merging and splitting PDFs and optimizing handwritten notes. Privacy and security are prioritized, with all processing conducted locally or through secure backends to protect sensitive data. To further enhance security, the extension uses AES encryption to safeguard user files during any temporary storage or transfer operations. Motivated by personal challenges with file size restrictions during job applications, this tool provides a seamless, efficient, and secure solution for users across various platforms. By simplifying a traditionally complex process, the extension enhances the user experience and ensures hassle-free compliance with form requirements.

IndexTerms - PDF (Portable Document Format), JPEG (Joint Photographic Experts Group), and PNG (Portable Network Graphics), representing the primary file types handled by the Chrome extension. The project leverages advanced algorithms such as K-Means clustering (K-Means Clustering Algorithm) for image compression and DCT (Discrete Cosine Transform) for optimizing file sizes.

"AI-DRIVEN FILE TRANSFORMATION: ENABLING CONSTRAINT COMPLIANCE FOR IMAGES AND PDFS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.c268-c271, May-2025, Available :http://www.jetir.org/papers/JETIR2505233.pdf

"AI-DRIVEN FILE TRANSFORMATION: ENABLING CONSTRAINT COMPLIANCE FOR IMAGES AND PDFS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppc268-c271, May-2025, Available at : http://www.jetir.org/papers/JETIR2505233.pdf