PatentPulseAI: feasibility study of an AI-based solution to automatically assess the value of a given patent and continuously check for infringement.

该项目旨在通过开发一种软件工具，利用NLP和NLG构建复杂的专利文本，并为有监督的AI模型创建特征，从而解决中小企业面临的专利侵权检测和评估挑战。该工具将结合联合收割机专利数据和其他数据集，以识别潜在的侵权者，并得出给定专利的初始估值范围。输出将通过专利专家的半监督设置进行优化。

This project aims to solve the challenge of patent infringement detection and valuation for SMEs by developing a software tool that utilises NLP and NLG to structure complex patent text and create features for a supervised AI model.The tool will combine patent data and other data sets to identify potential infringers and derive an initial valuation range of a given patent. The output will be refined through a semi-supervised setup with patent experts.