41-year-old Emmanuel Gabriel, has developed OBTranslate – a global Machine learning (ML) / Artificial Intelligence (AI) assistance platform for over 2,000 African language translation.
According to the German-based Emmanuel Gabriel, being the first globally, OBTranslate is an online Common Admission Tool (CAT) for machine learning, AI platforms and neural network systems for over 2,000 African languages. He explained that the drive to expand the Nigerian, African ICT market, create jobs and help improve lives of people motivated him to come up with the innovation.
Emmanuel Gabriel stated:
“After the launch of OBTranslate, I hope it will break communication barriers in Africa and create job opportunities for people.
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.”
Emmanuel Gabriel 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.
He noted that there were over 2,000 languages in 54 countries of Africa, whereby 63 percent of the total sub-Saharan population live in rural areas and speaking diverse dialects. According to him, there are more than 854 million people living in sub-Saharan Africa in rural areas without access to global markets, while 37 percent live in urban areas.
“There are over 52 native languages in Africa, which have undergone language death, they have no native speakers and no spoken descendants.”
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.”
Gabriel 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.