orabazu / automlnft

Automate your ML, get your results as NFT

Welcome to the home page of the AutoML.NFT dapp.

Start Here:

• AutoML.NFT Dapp is running live on the cloud.
• Sample "restaurant" dataset can be used to test the dapp. Under Role, role for "RestaurantID" should be "Id" and role for "Satisfaction" should be "Target".
• Documentation describes the project and the dapp.
• YouTube Video is the demo video for the hackathon.

Executive Summary

AutoML.NFT app is

• a Machine Learning as a Service (MLaaS) platform to
• interactively and dynamically generate Machine Learning (ML) report for uploaded data files, and
• issue NFT tokens on the XRP Ledger as certificate of ownership. AutoMLNFT also provides an analytical marketplace, where legal ownership of ML reports can be bought. The project also provides a template for XRPL and other blockchains on how MLaaS dapps with innovative features can be developed on the blockchain.

The app was designed, developed, and implemented during the period of XRPL NFT Hackathon by the project team.

The documentation herein describes the application and presents a blue print of how the system can be developed into the future over an extended time period.

AutoML.NFT Screenshots

AutoML.NFT Team

• Albert Vo (Backend development, Smart contracts, System design)

San Fransisco, CA, USA

• Orhun Ozer (Frontend development, Smart contracts, UI design)

Istanbul, Turkey

• Oguzhan Ozer (ML Engine development, Algorithm design)

Ankara, Turkey

• Gurdal Ertek (System design, UI design, Algorithm design, System documentation)

Al Ain, United Arab Emirates

Vite + React + Typescript + Eslint + Prettier

A starter for React with Typescript with the fast Vite and all static code testing with Eslint and formatting with Prettier.

We found out about Vite and wanted to have a boilerplate for the technologies that we used. You can find more about these in the following links:

• Vite
• React
• Typescript
• Eslint
• Prettier

Installation

Clone the repo and run yarn install

Start

After the successfull installation of the packages: yarn dev

AUTOML Install

wget https://repo.anaconda.com/archive/Anaconda3-2021.05-Linux-x86_64.sh
chmod +x Anaconda3-2021.05-Linux-x86_64.sh
run Anaconda3-2021.05-Linux-x86_64.sh

Install python packages

conda install seaborn
conda install missingno
conda install xelatex
conda install Flask

Start Here:

• AutoML.NFT Dapp is running live on the cloud.
• Sample "restaurant" dataset can be used to test the dapp. Under Role, role for "RestaurantID" should be "Id" and role for "Satisfaction" should be "Target".
• Documentation describes the project and the dapp.
• YouTube Video is the demo video for the hackathon.