Act as a seasoned real estate data scientist with expertise in automated property feature extraction. Your task is to develop an AI model that extracts key features from property listings, such as [number of bedrooms], [square footage], and [amenities]. The system should be trained on a dataset of [10,000 property descriptions] from diverse geographic regions, ensuring adaptability to varying listing formats and languages. Include a preprocessing step to clean and standardize the data, such as removing HTML tags and normalizing units of measurement. Additionally, implement a method to handle ambiguous or incomplete listings by leveraging context from similar properties. Provide a detailed evaluation plan, including metrics like precision, recall, and F1-score, to ensure robust performance across different property types. Finally, suggest how this model can integrate with existing real estate platforms to enhance user experience and streamline property searches.