Dynamic NFT Image Generation for Goal Progress Visualization
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Solution Overview
Problem
Current technologies lack effective methods to visualize and achieve goals using non-fungible tokens (NFTs), which are unique digital designs recorded on a blockchain ledger, limiting user engagement and goal-oriented interactions.
Innovation Solution
A generative artificial intelligence (GenAI) model generates and modifies NFTs based on user interactions and account activity, allowing dynamic evolution of images and transfer of image segments on a blockchain ledger, enabling users to visualize progress towards goals and manage NFT ownership through smart contracts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static NFT is used to represent a goal, then the ownership and uniqueness are secured, but the user engagement and visualization of goal progress are limited
Solution Approach 1:
The patent applies the dynamics principle by transforming the static NFT into a dynamic image that evolves and changes over time. The image is regenerated periodically to reflect updated goal progress, user achievements, or new milestones, making the NFT adaptive to changing circumstances while maintaining its unique identity and ownership security throughout the evolution process
Solution Approach 2:
The patent utilizes parameter changes by modifying various attributes of the NFT image such as color, shape, size, or composition based on changes in goal progress parameters. When users achieve milestones or goals advance, the image parameters are updated to visually represent this progress, creating an engaging dynamic visualization while preserving the NFT's unique ownership
2Adaptability or versatility
If the NFT image is updated frequently to show goal progress, then user engagement is enhanced, but the computational resources and processing time are increased
Solution Approach 1:
The patent applies continuity of useful action by establishing a periodic regeneration schedule for the NFT image that maintains user engagement through consistent updates. The image is regenerated at predetermined intervals or upon achieving specific milestones, ensuring continuous relevance and engagement while avoiding excessive computational consumption through structured timing
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors goal progress and triggers image regeneration based on achieved milestones or progress thresholds. This feedback-driven approach ensures the image updates only when necessary to reflect meaningful changes, optimizing the balance between user engagement and computational resource utilization
3Adaptability or versatility
If the NFT is divided into segments for transfer, then user interaction and goal achievement are improved, but the system complexity and blockchain transaction requirements are increased
Solution Approach 1:
The patent applies segmentation by dividing the NFT image into distinct segments or portions that can be independently transferred or owned by different users. This segmentation enables collaborative goal achievement where users can transfer specific segments to others, fostering enhanced user interaction while managing complexity through defined segment boundaries and ownership rules
Data Source
AI summary
An example operation may include one or more of generating a unique image based on execution of an image generating model and displaying the unique image via a user interface of a software application, assigning a segment of the unique image to a goal at a first point in time based on user inputs via a user interface of the software application, monitoring account activity of a user within the software application, determining, at a second point in time, that the user is closer to the goal based on the monitored account activity of the user within the software application, and in response to the determination, increasing a size of the segment of the unique image assigned to the goal of the user.