Muhammad Yunus is a Bangladeshi social entrepreneur, banker, economist, and civil society leader who was awarded the Nobel Peace Prize for founding the Grameen Bank and pioneering the concepts of microcredit and microfinance. These loans are given to entrepreneurs too poor to qualify for traditional bank loans.
‘The World without poverty’
Digital STEMSEL (Science Technology Engineering Maths Social Enterprise Learning) Foundation is a not-for-profit organization run by university students from fields of engineering and business that is dedicated to teaching the next generation about building blocks of modern economy, ie microchip applications and programming , with strong emphasis on Social Enterprise Learning.
We believe that we can make a significant contribution to achieving the goal of "The World without poverty" by creating a large number of Social Enterprise Ambassadors to promote the vision of Dr Yunus' micro finance social business helping billions of people living in poverty to earn their way out of it. In order to achieve this we aim to implement Social Enterprise Learning in schools and universities across Australia and the rest of the world.
STEMSEL Foundation uses a unique language to talk to microchips , to make the programming of microchips simpler so that primary school students in developing and developed countries can use their creativity to Design Build and Program their own micro-controller projects. One day they can use these skills to make a $100 rice cooker or a $100 million Jet Fighter! STEMSEL Foundation supports people who aspire to be Social Business Ambassadors to start micro-enterprises in Kyrgyzstan, India, Brunei, Malaysia, Australia, USA to reduce poverty.
Runlinc can predict when a turbine that makes electricity for an oil refinery will need maintenance or it may catch fire
runlinc can be developed to predict whether a patient has diabetes by comparing photos of their eye retina to people who have diabetes, which causes blindness, and people who do not have diabetes (Deep Learning).
Runlinc can be developed to predict whether customers will default on their bankloans (Machine Learning).