MaskhaNER

Project Overview

A web-based interface that will be used as a named entity recognition tool for African languages. Users of the system will be able to input a string of characters in an African language. This input will be used to train an NER model stored in the system. Feedback from the NER model will be displayed on the interface for users to see and give feedback on.

• MasakhaNER Tool

Team members

Team Members	Profile Links	Skills & Interests
Sinothando Mabhena u18007547	GitHub Profile Page LinkedIn	Final year Information & Knowledge Systems student interested in fullstack development and web design.
Phadimane Lerefolo u19081082	GitHub Profile Page LinkedIn	Skills: Java, C++, Javascript, HTML, Python, PHP, NodeJS, JavaScript,CSS,React Interests: AI, Data Science
Sean Nkosi u19107383	GitHub Profile Page LinkedIn	Sports, Eating and Sleeping
Khotso Bore u19180642	GitHub Profile Page LinkedIn	Anime Coding
Siphesihle Vezi u19078286	GitHub Profile Page LinkedIn	Coding, Music, Fiction

Documentation

• SRS Version 1 - StopDaCAp

• SRS Version 2 - StopDaCAp

• SRS Version 3 - StopDaCAp

• SRS Version 4 - StopDaCAp

• Architecture requirements - StopDaCap

• Technical Installation Manual - StopDaCap

• User Manual - StopDaCap

Demo Links

• StopDaCap - Demo 1

• StopDaCap - Demo 2

• StopDaCap - Demo 3

• StopDaCap - Demo 4

Technology Stack

Frontend - ReactJS

Backend - Flask

Database - PostgreSQL

GitHub-Management

Monorepo and Git Flow

Branching Strategy

• master
  • develop
    • frontend-develop
      • frontend-feature-module
    • backend-develop
      • backend-feature-module

Project Management Tools

• StopDaCap - MasakhaNER Project Board