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Local Chapter project

Enabling the Translation of Local African Languages using Machine Learning

NLPMachine Learning
Start date
January 23, 2023
Finish date
April 1, 2023
Project status
completed
Enabling the Translation of Local African Languages using Machine Learning

Challenge background

Africa has more than 3000 Languages. There is no proper mechanism for the efficient and accurate translation of these languages into more common, vastly spoken global languages like English, French, and Spanish. I aim to use AI and ML techniques to provide translations for these languages.

The problem

We want to solve the inadequate availability of translation technology for African languages. We believe this will greatly help with Africa's interactivity with the rest of the Globe. This challenge in particular seeks to help with the translation of Ghanaian Languages.

Goal of the project

  1. Source for train datasets
  2. Carryout data preprocessing
  3. Develop a Machine learning model 
  4. Carry out inference with the trained model using test data
  5. Develop an API to be used by individuals

Project timeline

  1. 1

    Week 1

    Kick-off and Collection of Data

  2. 2

    Week 2

    Data Cleaning and Exploratory data analysis

  3. 3

    Week 3

    Feature engineering and selection

  4. 4

    Week 4

    Build Machine Learning Model

  5. 5

    Week 5

    Deploy through various means for use across different platforms

What you'll learn

  1. Collection of Data
  2. Data Cleaning
  3. Data Analysis
  4. Build Machine Learning
  5. Develop API

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.