(NHCE, 2023) HARI KRISHNA M 1NH20IS054 C SAI SOURABH 1NH20IS034 BHARGAV M 1NH20IS023
Poverty is always a big problem for any country, which needs to be taken care of, countries spend
lot money and resources for eradicating the poverty. To eradicate we need to have a data about the
regions which are under poverty, so that the money which has been allocated for poverty eradication
goes to right region, To collect the data we need to spend a lot of money and human resource, to
minimize that we propose a system which utilizes the satellite images to detect the necessary regions
economic levels so that we determine if the region is under poverty or not ,we will be using 2
models, where one model is a convolutional neural network which feed with satellite images from
which it would identifies the economic parameters and send the results to another model which
would identify the relationship between these parameters and predict the economic level of that
region.