Objective: I am in the process of developing an application that utilizes machine learning (Core ML) to interact with photographs of documents, specifically focusing on those containing tables. Step 1: Capturing the Image The application will initiate by allowing users to take photos of documents. The key here is not just any part of the document, but specifically the sections where tables are present. Step 2: Image Analysis through Machine Learning Upon capturing the image, the next phase involves a machine learning model. Using Apple's Create ML tool with Swift, the application will analyze the image. The model's task is two-fold: Identifying the Table: Distinguish the table from other document information, ensuring it recognizes and isolates the table structure within the photograph. Ignoring Irrelevant Information: Concurrently, the model will disregard all non-table content, focusing the application's resources on the table data. Step 3: Data Extraction and Training Once the table is identified, the real
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