Jessi MD multi device Unlimited Version 24 hors activation

Chatbot implemented as expert system to recommend fiction to the casual reader, written as set of rules in LISP variant

Several projects for the Artificial Intelligence course, with topics such as Recommender and Rule-based Systems, Ontologies and Natural Language Processing.

An expert system that attempts to guess the user's animal in 20 questions or less

Web application example with the Jess Rule Engine made in Eclipse

Expert System which recommends solutions to mental problems faced by undergraduate students, such as stress, anxiety and depression.

Jess 7 project with a tree of selection of animals. Artificial intelligence that guesses which animal you guessed. Created as university project at Vilnius Gediminas technical university.

The Project was about creating a Tracker App for expenses, it is a Full Stack Application, using Rails as API to handle Back End and on the Front End using React and RTK Query, It tracks expenses per day and add them per month and filter it by year the visualization was using Chartjs-2. It was built with

Projects related to content covered in CS-514 (applied AI) under Prof Piotr Gmytrasiewicz

Example Rest API create using Express in TypeScript + Unit Test

Grocery shopping expert using JESS Fuzzy logic

A cognitive model testing API based on the JESS rule engine. It provides a simple and easy to use way to test a cognitive model on a given task,

Attack Tree to Expert System Conversion Program

A few projects in different branches of artificial intelligence (AI)

Machine Learning Expert System

Course projects for CS 514 at UIC - Prof. Piotr Gmytrasiewicz

An intelligent system is designed that can diagnose if a dog has been infected by ParvoVirus

A backward-chained expert system in JESS that diagnoses common oral and maxillofacial pathologies

A simple expert system By Jess which attempts to identify an animal based on its characteristics.

React boilerplate with webpack babel sass redux react-router express