Nathan Wang@nathan_wang

Our project utilizes the Anthropic Claude to understand long, complex texts such as HOA disclosures or inspection reports within the real estate industry. Leveraging the model's capability to understand and generate human-like text, we aim to offer the user a quick summarization of the lengthy documents. The model will pinpoint and highlight the key points and risks in the document. Furthermore, based on user requirements and inputs, our AI assistant will provide a recommendation score. This score will aid users in making a more informed decision about the property they're dealing with. To ensure that our solution meets user needs effectively, we plan to design it to conduct constructive conversations based on further user questions. This conversational aspect will provide users with deeper clarity on specific points, thereby fostering better understanding and decision-making.

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