All of us have once used either facial recognition technology, paid bills online, or asked Siri for updates. All this sounds pretty normal, and now that we are used so much to this, life without artificial intelligence seems impossible. AI is now not only procreating our day-to-day lives but is remaking an extensive range of industries. Peripheral intelligent systems in quantum, commonly known as PISIQ, is a step ahead and uses AI to solve significant economic and social problems. PISIQ is now trying to abolish poverty and bring a universal change with the help of artificial intelligence. Our goal is to provide indigent people with the correct equipment to get themselves out of poverty. Since AI is all over the place, we will be using it along with machine learning to collect the appropriate data and get an idea of the economic situation of that place. Mudar Muhissen, CTO at PISIQ R & R&D, a leading organization in AI research and technology, states that AI gives us the ability to solve issues we could never comprehend.

He also mentioned that the major problem of this is the lack of affordable assets, education, and skills, and we will work on a system that tackles the whole ecosystem of support and builds a more robust one. We are using AI to find regions where AI is most needed. Artificial networks will be amalgamated into various research to improve agriculture, which will eventually give farmers a way to improve their financial status. AI is also an effective tool for increasing access to information and boosting education and literacy. Using our autonomous corporate model, we can build a virtual organization on the cloud for those farmers.

Arman Salah is very intrigued by the response we will be getting as we are working on high hopes and are at huge risks. As a society, he believes that we need to find more manageable and more economical ways to invest in technology. It is no big surprise that poverty is affected by a small group of people and huge masses all over the world. AI here comes into the picture by identifying the ones in need of the resources.

Although it seems perfect, this information is not enough to build the desired framework.

According to Mudar, collecting the statistics in regions like Africa and South Asia is very slow-moving and prohibitively costly. Nihal Mohammad Shaikh, the CIO of PISIQ, says, to make it easier and economical, PISIQ fed Brain Interface Technology (BIT) technology owned and patented by PISIQ data set that shows the infrastructure of an area or a country.

The algorithm is set in such a way, with some features, that it predicts the areas that require resources. BIT provides a perfect scenario of poverty and provides the data of the regions based on cultural differences. The model found many features that relate to agricultural areas, water bodies, and urban areas, but a lot of them were hard to decipher. We realized that we could predict around 71 percent to 99 percent accurate information that would help us find the right resources on feeding the collected data. We also found patterns that do not seem safe, but to BIT, it does seem safe and beneficial. Zaki Salah also said that they are using powerful machine learning to predict poverty in Nigeria, Uganda, Tanzania, Rwanda, and Malawi. In simpler words, what is done is to find the infrastructure of a region and give it ratings on a scale of 0-10. Also, researches are conducted to find areas with abundant resources to find suitable donors. Our research was finally a success and will be hitting the market in 2021.