alpekin98 / ceng-407-408-2019-2020-AI-Customer-Support

AI Customer Support

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Contributors Forks Stargazers Issues


Logo

AI Customer Support

Welcome guys! A very good time to use the best AI customer support system!
Firstly, explore our wiki

View Demo · Report Bug · Request Feature

We are aiming to create a web system that can be installed on any website. In our system, we will be creating a customer support system which is machine learning based program that can train itself according to the questions asked and also answers given by the non-machine (human) supporters. For every website, our program will have its’ own dataset on the computer it is installed. For every solved issue which means question and its’ true answers at the end (does not matter how many questions asked and true or false answers given between these two), machine learning program will create a model and after a while it will start answering questions instead of non-machine supporters.

Here's why:

  • Responding quicker to customer's questions
  • Creating a specific response quality
  • Fewer staff needs
  • Easy to manage and easy to install

Major frameworks we use in our project:

Getting Started

Okey guys, now is the time to install this system. If you don't have the technical knowledge, don't worry, because we'll show you the right way.

Please follow the steps below carefully!

First of all, since we are a PHP based system, you need a linux based system. I continue assuming you have provided them and have installed the ngnix or apache server.

You don't have to worry about PHP version. Because both php5 and php7 are working properly. But of course PHP 7 will also perform better.

  • To check your php version:
php -v

Installation

  1. Clone the repo
git clone https://github.com/CankayaUniversity/ceng-407-408-2019-2020-AI-Customer-Support.git
  1. Go to the install page
www.your-domain.com/install/install-new.php

About

AI Customer Support


Languages

Language:PHP 61.0%Language:CSS 26.6%Language:HTML 5.5%Language:JavaScript 3.6%Language:Hack 2.8%Language:Python 0.5%