Apparatus And Method For Generating Customizable Software Based Networking Platforms

Abstract

The present invention is directed to a system and apparatus for generating a computer network for accessing and transmitting data of and between multiple users. In a particular implementation, the system comprises a computer network generator having at least one processor and configured by code executing therein to generate an updatable core network package and select from an array of network feature modules, a plurality of ancillary features and customizations for incorporation into the computer network.

What is claimed is: 
     
         1 . A system for generating a computer network for accessing and transmitting data from multiple users, the system comprising:
 a) a computer having at least one processor and configured by code executing therein to generate an adaptive user interface generator,   wherein the adaptive user interface generator is configured to generate at least one adaptable user interface component;   b) the adaptable user interface component comprising a plurality of access levels configured to allow the user to access different levels of functionality governing the operation of the user interface component;   c) setting the access levels of the user interface components according to user feedback;   d) monitoring use of the user interface components by a specific user; and   e) changing the access level of the user interface in response to user feedback.   
     
     
         2 . The system of  claim 1 , wherein the changing of the access level includes altering the visual display of a user interface component. 
     
     
         3 . The system of  claim 2 , wherein altering the visual display of a user interface component includes replacing a textual identifier with an icon. 
     
     
         4 . The system of  claim 1 , wherein regenerating all of the user interface components in response to user feed back. 
     
     
         5 . The system of  claim 1 , wherein the monitoring step include evaluating the use of the user interface components with a machine learning algorithm and generating a threshold action for changing the access level of one or more user interface components.