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EthioAI HUB is a comprehensive web platform dedicated to archiving and preserving AI-related works from Ethiopia. The platform serves as a centralized repository for Machine Learning models, datasets, research papers, and other related resources within the Ethiopian context.

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NegasiHaile/ethioai-hub

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This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

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

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

How to add project

  1. Go to

  1. Add your project with the following example
  {
    id: 1, // Check the last project Id, (last_project_id + 1)
    title: "HornMT",
    languages_used: ["Python", "Pythorch"], // Languages and libraries used
    creator: ["Ethio NLP", "Dr. XXX", "Pro. YYY", "Mr. ZZZ"], // Who created the project
    description: `The HornMT repository contains data and the associated metadata for the project Machine Translation Benchmark Dataset for Languages in the Horn of Africa. It is a multi-way parallel corpus that will serve as a benchmark to accelerate progress in machine translation research and production systems for languages in the Horn of Africa.`,
    featured: true, // true/false
    domain: [
      "Helath",
      "Politics",
      "Education",
      "Agriculture",
      "Bussiness",
      "Art and Culture",
      "Disaster and Accidents",
    ], //  "Helath", "Politics", "Education", "Agriculture", "Bussiness","Art and Culture", "Constraction", "Disaster and Accidents
    field: "Computer Vision", // "NLP", "Computer Vision", "Speech Recognition", "Generative AI"
    field: "NLP", // Computer Vision, NLP ...
    links: [
      {
        id: 1,
        name: "GitHub",
        link: "https://github.com/asmelashteka/HornMT",
      },
      {
        id: 2,
        name: "NIH",
        link: "https://data.niaid.nih.gov/resources?id=zenodo_6369441",
      },
    ],
    year: "2024", // The year that the project published
    content: "Dataset", // Dataset, Model, Paper
  },

Learn More

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

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

Deploy on GitHub pages

npm run deploy

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

About

EthioAI HUB is a comprehensive web platform dedicated to archiving and preserving AI-related works from Ethiopia. The platform serves as a centralized repository for Machine Learning models, datasets, research papers, and other related resources within the Ethiopian context.

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