Our team, Anemo riders is working on the SDG track- Poverty. Our motto is to break the circle of poverty by creating an app which helps in so. We were inspired to create this app as we see the state of less privileged people in our localities almost every day and yet almost no one helps them and due to them not having money they cannot get education and thus when they grow up, they do not get jobs. So hence, we created Euphrosyne. The app is made using PowerApps to show the basic functionality of it and how it will work in the real world, we created a system in python which highlights all the regions by their average wealth, and in the demo, we used Europe as the example. The app takes the user’s location and finds people less privileged near them, this way they can volunteer and help the poor people get educated. The app has many functionalities which can help in the education of these people. When the app is deployed, we hope to organise huge events which will help our society prosper.

```import cv2 import numpy as np

img=cv2.imread("img.png")

choose = input("Which area: ").lower().strip()

def richplaces():

hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
lowerrange = np.array([25,157,1])
upperrange = np.array([130,255,255])

mask = cv2.inRange(hsv,lowerrange,upperrange)

cv2.imshow("Image", img)
cv2.imshow("Mask", mask)

cv2.waitKey(0)
cv2.destroyAllWindows()

def middleclass():

hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
lowerrange = np.array([0,121,255])
upperrange = np.array([130,255,255])

mask = cv2.inRange(hsv,lowerrange,upperrange)

cv2.imshow("Image", img)
cv2.imshow("Mask", mask)

cv2.waitKey(0)
cv2.destroyAllWindows()

def poverty():

hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
lowerrange = np.array([179,149,251])
upperrange = np.array([130,255,255])

mask = cv2.inRange(hsv,lowerrange,upperrange)

cv2.imshow("Image", img)
cv2.imshow("Mask", mask)

cv2.waitKey(0)
cv2.destroyAllWindows()

if choose == "rich": richplaces()

if choose == "middle": middleclass()

if choose == "poor": poverty()