Implementation of Sustainable Development Goals through ML techniques

n this paper, machine learning is presented as a sustainable
development tool. The United Nations approved the sustainable
development goals (SDGs) in 2015 as a worldwide initiative to
end poverty, protect the environment, and guarantee peace and
prosperity for all people by 2030. The construction of algorithms that
allow machines to learn from data and make predictions based on the
qualities of the data is essentially the emphasis of machine learning.
Adopting the artificial neural network (ANN) learning method is
thus one of the main approaches in machine learning. In light of
this, we talked about how machine learning works and examined
academic research on its application to sustainable development.
This study demonstrates how machine learning and effective data
mining. Artificial intelligence has a significant impact on a variety
of challenges, including social, environmental, and economic ones.
Decisions can be made more easily by analysing data. Deep learning
computers have made this possible. Artificial intelligence can help
us accomplish the SDGs if we use it to complement rather than
replace human intelligence and skills. The SDG Goals already use
machine learning and machine vision. Additional AI methods, such
as robotics and automation, reduce the need for human labour and
can aid in the achievement of SDGs.