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@article{169704,
        author = {Kapil Kashyap and Sean Fargose and Gandhar Dhonde and Aditya Mishra},
        title = {Patent Novelty Assessment: Accelerating Innovation and Patent Prosecution},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2512-2517},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169704},
        abstract = {In the rapidly evolving landscape of technological innovation, safeguarding intellectual property rights through patents is crucial for fostering progress and stimulating research and development investments. This report introduces a ground- breaking Patent Novelty Assessment and Claim Generation System, meticulously crafted to dissect the inventive aspects of intellectual property and simplify access to extensive patent claim data. Addressing a crucial gap in academic institutions, our system provides college students and researchers with an intuitive platform to navigate and grasp the intricacies of patent claims, particularly tailored for the nuances of Chinese patents. Unlike conventional analysis systems, our initiative harnesses a proprietary Chinese API to ensure unparalleled precision and relevance. The primary challenge lies in the complexity of accessing and comprehending diverse patent claims, inhibiting effective innovation upon existing ideas. Our solution aims to overcome these barriers by offering a bespoke approach that seamlessly retrieves comprehensive claim information, finely tuned to the specifics of the Chinese patent landscape. By equipping users with efficient access to comprehensive patent claim information, our transformative platform seeks to ignite informed exploration and innovation in the ever-evolving domain of intellectual property. Its envisioned impact transcends individual colleges, nurturing an environment conducive to research and development while deepening the understanding of patented concepts within the academic community.},
        keywords = {Patent novelty, prior art search, patent classification, International Patent Classification (IPC), Cooperative Patent Classification (CPC), machine learning, natural language processing, semantic analysis, data security, confidentiality, knowledge management.},
        month = {November},
        }