Ethiopian AI Research Hub
Explore machine learning models, datasets, and research papers focused on Ethiopian
Features
๐ Search and filter resources by category
๐ง Access models
๐ Find datasets
๐ Discover papers
Getting Started
This is a Next.js project bootstrapped with create-next-app.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen 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
- Go to
src/data/projects.ts- 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
},