The next video “0100 Coding an online dating AI coach app” presents an app in development that aims to assist users in online dating platforms like Tinder, Bumble, and Plenty of Fish. The app analyzes chat conversations and suggests text responses from a private server, which users can copy and paste into their chats. The main objective is to help users advance online dating conversations and secure physical dates. The creator showcases the app’s capabilities by demonstrating appropriate but vague responses to common online dating questions and highlighting the potential for users to customize the app’s suggestions.
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In the following lecture titled “0101 Using Vision framework to extract dating chat text from screenshot,” the speaker demonstrates how to create a Swift file within the AI manager to recognize text from a screenshot using Apple’s Vision framework. The process involves importing required modules, creating a TextRecognitionManager class, and defining a text recognition function. After testing the method with an image, the speaker discusses extracting the main text from a screenshot. The focus is to extract all text from the user’s perspective, but the first candidate text is set as the result and converted to a string. The speaker also walks through sending a request for text recognition with the highest accuracy level and in English but notes that other languages can be added. The recognition text function is complex but familiar to those with Vision recognition background.
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In this video labeled “0102 Extract the dating chat conversation text from the image”, the speaker exhibits the process of extracting text from an image using a previously developed text recognition manager. To begin, they suggest removing excess code for streamlined extraction. The speaker then selects a text-containing image and applies the text recognition manager to extract the text. The extracted text becomes available for further processing, including the possibility of sending it to a private server.
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