abashinos/expertsystem

Expert System Creation Engine

Expert System Creation Engine is a project designed to support creation of expert systems based on perceptron approach. The systems should be designed to take user input and infer the most fitting object to the clustering problem set by an expert. The expert creates a set of logic entities to solve the problem for any possible user input. Main entities of the system are:

• Objects -- main classification (clustering) entities
• Attributes -- features that objects possess. Main clustering entity
• Parameters -- features that are deducted about user data from user input
• Questions -- interface for user interaction with the system
• Answers -- either preset of free-input fields for collecting user input
• Rules -- logic relations that are used to connect attributes and parameters and also tailor the upcoming questions according to previous answers

Used technologies:

• Backend:
  • Python (Django)
  • MySQL
• Frontend:
  • HTML5
  • JavaScript (JQuery)
  • Twitter Bootstrap