IML DataSoft Web Project

IML DataSoft Web Project is coded with Next.js. General information is given below.

Introduction And Installation Guide

Introduction: https://www.youtube.com/watch?v=RcLk0Nz2ZSk
Installation Guide: https://www.youtube.com/watch?v=_S2LX0eOtWI

Getting Started

First, install packages:

npm install
# or
yarn install

Run the development server:

npm run dev
# or
yarn dev

Open http://localhost:3000 with your browser to see the result.

Learn More

To learn more about Next.js, take a look at the following resources:

Next.js Documentation - learn about Next.js features and API.
Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Project

The project consists of 4 parts: web, backend, node.js api, python api. Coded for master's thesis. It is based on the comparison of data collected from the real environment and data generated by the simulator with deep learning algorithms. As a result, it was observed that the simulator data was close to the real environment data. On the web project, there are screens such as entering real world data, creating simulator data, adding error types for the simulator, running the algorithm with the data set and comparing the algorithm results.

  # Pages;

  - Login
  - Sign Up
  - Homepage
  - User Settings
  - Simulators
  - Real Dataset
  - Anomali Types
  - Algorithms
  - Run Algorithm
  - Compare Algorithm

Useful resources