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
- Source for train datasets
- Carryout data preprocessing
- Develop a Machine learning model
- Carry out inference with the trained model using test data
- Develop an API to be used by individuals
Project Timeline
Kick-off and Collection of Data
Data Cleaning and Exploratory data analysis
Feature engineering and selection
Build Machine Learning Model
Deploy through various means for use across different platforms
What you'll learn
- Collection of Data
- Data Cleaning
- Data Analysis
- Build Machine Learning
- Develop API
First Omdena Local Chapter Project?
Beginner-friendly, but also welcomes experts
Education-focused
Duration: 4 to 8 weeks
Open-source
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
Application Form
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