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Participated at SAP's challenge, where we had to create a dashboard web application for RetailX (an online retail store) that used AI to give solutions to supply-management problems and improve cost efficiency. Utilized technologies: Microsoft PowerBI, Node.js, React, HTML, CSS, OpenAI

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andrauritu/HackatonBEST

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HackatonBEST

Welcome to the HackatonBEST project repository! This project is the outcome of a collaborative hackathon event organized by the BEST (Board of European Students of Technology). Our team participated in SAP's challenge, where we developed a dashboard web application for RetailX, an online retail store. The application uses AI to provide solutions to supply-management problems and improve cost efficiency.

Table of Contents

Project Overview

Our project is designed to tackle supply management and cost efficiency issues for online retail stores like RetailX. During the hackathon, our team created an AI-powered dashboard web application that leverages advanced data analytics to provide actionable insights and recommendations.

Features

  • AI-Powered Insights: Uses OpenAI to analyze data and provide recommendations.
  • Interactive Dashboards: Built with Microsoft PowerBI for dynamic and interactive data visualization.
  • User-Friendly Interface: Developed using React, HTML, and CSS to ensure a seamless user experience.
  • Real-Time Data Processing: Utilizes Node.js for efficient data handling and real-time updates.

Technologies Used

  • Microsoft PowerBI: For data visualization.
  • Node.js: For backend development and real-time data processing.
  • React: For building the user interface.
  • HTML & CSS: For structuring and styling the web application.
  • OpenAI: For AI and machine learning functionalities.

Installation

To get a local copy of the project up and running, follow these steps:

Prerequisites

Steps

  1. Clone the repository:

    git clone https://github.com/andrauritu/HackatonBEST.git
  2. Navigate to the project directory:

    cd HackatonBEST
  3. Install dependencies:

    npm install

Usage

To run the project locally, use the following command:

npm start

Demo

Youtube demo video

About

Participated at SAP's challenge, where we had to create a dashboard web application for RetailX (an online retail store) that used AI to give solutions to supply-management problems and improve cost efficiency. Utilized technologies: Microsoft PowerBI, Node.js, React, HTML, CSS, OpenAI

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