ARTIFICIAL INTELLIGENCE-BASED SYSTEM FOR ADAPTIVE USER INTERFACE CUSTOMIZATION

Abstract

The present invention relates to an Artificial Intelligence-Based System for Adaptive User Interface Customization designed to dynamically personalize the user interface (UI) based on individual user behaviors, contextual factors, and accessibility needs. The system utilizes machine learning algorithms to analyze user interactions, such as clicks, gestures, and navigation patterns, along with contextual data including device type, location, and environmental conditions, to predict optimal UI configurations. The system adjusts UI elements such as layout, color schemes, font sizes, and navigation paths in real-time to enhance usability, improve accessibility, and provide a seamless user experience across multiple devices. The system incorporates privacy-preserving mechanisms to ensure secure handling of user data and a feedback loop to continuously refine and optimize UI customization based on evolving user preferences. This invention offers a flexible, scalable, and adaptive solution for creating highly person

Specification

Description:The embodiments of the present invention generally relates to the field of user interface (UI) design and customization. Specifically, it pertains to systems and methods employing artificial intelligence (AI) and machine learning (ML) techniques to dynamically adapt and personalize user interfaces in real-time across digital platforms, enhancing user experience by tailoring layouts, styles, and interactions to individual preferences and contextual requirements.
BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.

In the rapidly evolving digital landscape, user interfaces serve as the primary medium for inter , Claims:1. A system for adaptive user interface customization, comprising:
a user interaction monitoring module configured to capture user interaction data from a digital application;
a contextual data integration unit configured to collect contextual information;
an artificial intelligence engine operable to analyze the user interaction data and contextual information to generate a UI customization model; and
a customization module configured to dynamically modify the user interface based on the UI customization model.

2. A method for adaptive user interface customization, comprising:
capturing user interaction data from a digital application;
collecting contextual data relevant to the user environment;
training a machine learning model to predict optimal UI configurations based on the collected data; and
dynamically updating the user interface in real-time based on predictions from the machine learning model.

3. The system of claim 1, wherein the AI engine uses reinforcement learning to adapt to evolving user pre

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