Tech medics: Nigerian students based abroad develop ‘Meddibia’, an Artificial Intelligence (AI) Medical Assistance App

Nigerian students based abroad develop ‘Meddibia’, an Artificial Intelligence (AI) Medical Assistance App | Ikejabird.com

A team of 5 Nigerian students and one Indian have created an award winning Artificial Intelligence (AI) Medical Assistance App, called ‘Meddibia’.

Nigerians in diaspora have performed excellently in their different fields, bringing glory to our great nation.

Tony Okeke, 20, winner of the 2018 edition of the Nigerian National Petroleum Corporation, NNPC, National Science Quiz Competition alongside his teammates are one of those, Vanguard reports.

READ ALSO: Two Nigerian men win a tech prize of 230 million, invent zero carbon cook-stoves for carbon emission reduction.

Tony, presently studying Biomedical Engineering in Drexel University, Philadelphia, Pennsylvania, USA, teamed up with five other international students (four Nigerians and one Indian).

The team – ‘Team Meddibia’, was made up of Okeke, Dishika Goel, Elochukwu Enwerem, Dalu Okonkwo, Michael Moemeke and Victor Uzo.

Nigerians invent Medical app for diagnosis 

They worked together to develop an Artificial Intelligence (AI) Medical Assistance App, which they named ‘Meddibia’.

The impressive app ‘Meddibia’ was one of the ten AI projects that won at the Philly Codefest 2023, Philadelphia, Pennsylvania, USA during the 10th year of the software and hardware hackathon.

Presenting their project on behalf of his team, Okeke explained: “The inspiration behind our latest project came from a deep desire to improve the accessibility of medical care for people living in rural areas.”

“As developers from third-world countries, we understood all too well the struggles faced by those who lack access to proper medical facilities.”

“Our team wanted to create a solution that would bridge the gap between these individuals and medical professionals, so we set out to create an app that would allow users to receive medical advice and diagnoses using machine learning models.”

Meddibia is a health assistant which can take the description of a symptom and proffer a likely diagnosis from the information given.

It can also provide more details about the diagnosis and symptoms. In addition, it allows users to get diagnosis for skin conditions and aberrations by simply taking a picture of the affected area. 

READ ALSO: He is so amazing: Boy builds a moving truck out of wood and generator engine

Nigerian engineer invent non-electric ventilator “ShiVent”, wins the “One To Watch” Award at the Africa Prize for Engineering 

Meanwhile, a Nigerian inventor, Engineer Yusuf Bilesanmi won the “One To Watch” award after his ventilator, ‘ShiVent’ won the engineering contest.

Yusuf, 37, obtained his first degree in Law at Lagos State University, before he proceeded to study engineering.

In a YouTube video, ShiVent was shown to have completed functionality testing at the National Centre for Sports and Exercise and Medicine at Loughborough University, UK.

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