India-trained Nigerian ICT expert develops world’s first AI platform for language translation

India-trained Nigerian ICT expert develops world’s first AI platform for language translation

In what will go down as a daring feat of innovation, a 41-year-old Nigerian, Emmanuel Gabriel has developed a global Artificial Intelligence (AI) platform, known as OBTranslate with the capacity to translate 2,000 African languages.

Gabriel, an Information Communication Technology (ICT) expert based in Germany, disclosed that the invention, being the first globally, was intended to create huge job opportunities for Africans.

OBTranslate, he affirmed, is an online Common Admission Tool (CAT) for machine learning, AI platforms and neural network systems for over 2,000 African languages.

According to Gabriel, the drive to expand the Nigerian and African ICT market, while creating jobs and improving the lives of people motivated him to come up with the invention.

“After the launch of OBTranslate, I hope it will break communication barriers in Africa and create job opportunities for people.


ALSO READ: How technology is changing the way we love: A wired investigation


“Farmers will be able to trade their goods and services without language communication barriers.

“OBTranslate machine language, AI algorithms have curated over nine billion accurate tasks to be translated in over 2,000 African languages which is available in our neural network connections.

“Our goal is to break language communication barriers in rural and urban areas in Africa and it will enable self driving cars, smartphones, linear robots and wireless technology to communicate and interact with Africans in their dialects,” he said.

Gabriel noted that the OBTranslate technology was built on machine learning, AI and big data analysis which identified language patterns and tasks.

He pointed out that the tasks of deep machine learning include voice recognition and accent, messaging protocol, African-based programming languages, natural language processing, education materials and television subtitles and music lyrics, among others.

According to him, there are over 2,000 languages in 54 countries of Africa, whereby 63 per cent of the total sub-Saharan population live in rural areas and speak diverse dialects.

Furthermore, there are more than 854 million people living in sub-Saharan Africa in rural areas without access to global markets, while 37 per cent live in urban areas.

The ICT enthusiast also disclosed that the invention had the capacity to create jobs for 100 million Africans who had the capacity to teach their machine Pidgin English or their native languages.

“Our machine language, AI algorithms with neural network connections have curated billions of task waiting for Africans who can teach our machine their local dialect.

“The first phase of the project comes with nine billion tasks, and the second phase comes with 12 billion tasks.

“It is projected to hire about 100 million Africans, with a projection of 3.6 billion USD passive income for Africans with the capacity,” said Gabriel.

He called on African countries to ensure job creation and the implementation of the structural adjustment policies recommended by the World Bank and International Monetary Fund.

According to him, most people who migrate to other countries are pushed by war, poverty and other security concerns in their countries.

The Ishan-born expert who hails from Edo state studied ICT and Robotics in India and began computing at the age of 18 when he built his first software to analyse petroleum crude oil seismic data.

Gabriel was the founder of OpenBinacle, an Europe-Africa based technology company, while OBTranslate was a registered trademark and patent of its parent company, OpenBinacle.

About The Author

I fell in love with graphics design at a young age and the relationship still continues. A confident and creative designer who is self motivated, self sufficient and comes to you with a strong background in both print and digital media.

Related posts

1 Comment

Leave a Reply

Your email address will not be published.