Editable Ad Generation Interface Using Profile-Based AI
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Solution Overview
Problem
Small businesses and individuals face challenges in designing effective online advertisements due to limited budget, technical knowledge, and resources, making it difficult to efficiently create and analyze advertisement effectiveness.
Innovation Solution
A system and method utilizing a machine learning model to generate customizable online advertisements based on user input and attributes extracted from user profiles, allowing for real-time creation and editing of visual and textual components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If small businesses and individuals design online advertisements manually, then they can create customized content, but it consumes excessive time and resources
Solution Approach 1:
The system enables automated advertisement generation by extracting attributes from user profiles and using machine learning models to create ad content independently, eliminating the need for manual design efforts while maintaining customization
Solution Approach 2:
The patent replaces the manual mechanical process of advertisement design with an automated machine learning-based system that generates ad content algorithmically, substituting human creative effort with computational processes
2Adaptability or versatility
If manual advertisement design is used, then creative control is maintained, but technical knowledge and expertise are required
Solution Approach 1:
The system automatically extracts relevant attributes from user profiles and generates customized advertisement content without requiring users to possess technical design knowledge or expertise
Solution Approach 2:
The machine learning model acts as an intermediary between the user's profile data and the final advertisement output, translating raw profile information into professionally designed ad content that maintains customization while eliminating technical complexity
3Productivity
If traditional advertisement tools are used, then specific tasks can be assisted, but complete advertisement creation remains manual
Solution Approach 1:
The system provides comprehensive automated advertisement generation that handles multiple tasks including content creation, attribute extraction, and customization in a single integrated process, rather than assisting with isolated manual tasks
Solution Approach 2:
The advertisement generation system operates autonomously by extracting profile attributes and generating complete ad content without requiring manual intervention at each step, achieving high automation while maintaining user control through profile-based personalization
Data Source
AI summary
Systems and methods for generating advertisements via an online interface include extracting an attribute from a user profile in accordance with receiving user input at an interactive input form provided at a graphical user interface on a first computing device. The systems and methods also include generating, by a machine learning model, an advertisement that is customized based on the user input and the attribute. The advertisement includes an advertisement content component that includes at least one of a visual component or a text component. The systems and methods also include rendering, on the graphical user interface, an editable version of the advertisement. The advertisement content component is editable on the graphical user interface.