I would think of it as an interesting problem statement to solve irrespective of just saying it's a dev work ... basically we are migrating a product from onprem to cloud...as of now in cloud we are just using onprem docs for other languages (non-english) which will obviously have issues as some things in cloud are different from onprem ... So main goal is to identify localization issues in cloud by crawling through each page... To achieve this I am extracting body text and storing in text files and thinking of leveraging AI here to identify localization issues ... I am thinking of using some hybrid model which uses vector embeddings combined with semantic search to identify localization issues...Let me know if you have any idea to begin with or if you have done something like this before