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diff --git a/pythonProgram/function-specific-programs/drunk.py b/pythonProgram/function-specific-programs/drunk.py
new file mode 100644
index 0000000..7e4d94d
--- /dev/null
+++ b/pythonProgram/function-specific-programs/drunk.py
@@ -0,0 +1,25 @@
+from uber_rides.session import Session
+from uber_rides.client import UberRidesClient
+
+
+session = Session(server_token=<TOKEN>)
+client = UberRidesClient(session)
+
+
+print("Your Location Appears to be around places which sells \n alcohol, please taka the breathalyser test ")
+
+bac = 0.02
+
+if(bac >= 0.08):
+ print("Please Do Not Drive!\n")
+ print("I can call a cab if you want\n")
+ print("Say No, to disagree, else I'll book the cab")
+ input = yes
+ if(input==no):
+ print("You are not fit to drive")
+ print("Text message to emergency contact sent")
+ break
+ print("Your cab has been booked, thank you for not driving")
+ break
+print("have a safe journey!")
+
diff --git a/pythonProgram/function-specific-programs/ear.py b/pythonProgram/function-specific-programs/ear.py
new file mode 100644
index 0000000..a40e065
--- /dev/null
+++ b/pythonProgram/function-specific-programs/ear.py
@@ -0,0 +1,117 @@
+# Using Eye aspect ratio
+from scipy.spatial import distance as dist
+from imutils.video import VideoStream
+from imutils import face_utils
+from threading import Thread
+import numpy as np
+import playsound
+import argparse
+import imutils
+import time
+import dlib
+import cv2
+
+def sound_alarm():
+ print('You Sleep You Lose')
+
+def eye_aspect_ratio(eye):
+ # Computes the euclidean distances between the two sets of eyes
+ A = dist.euclidean(eye[1], eye[5])
+ B = dist.euclidean(eye[2], eye[4])
+
+ # compute the euclidean distance between the horizontal
+ # eye landmark (x, y)-coordinates
+ C = dist.euclidean(eye[0], eye[3])
+
+ # compute the eye aspect ratio
+ ear = (A + B) / (2.0 * C)
+ # return the eye aspect ratio
+ return ear
+
+shape_predictor = "../files/shape_predictor_68_face_landmarks.dat"
+
+
+EYE_AR_THRESH = 0.2 # If the EAR goes < this for 48 frames, it is counted as drowsiness
+EYE_AR_CONSEC_FRAMES = 48
+
+COUNTER = 0
+ALERT = False
+
+# initialize dlib's face detector (HOG-based) and then create
+# the facial landmark predictor
+print("Initialising Facial Landmark Predictor...")
+detector = dlib.get_frontal_face_detector()
+predictor = dlib.shape_predictor(shape_predictor)
+
+(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
+(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
+
+print("Starting Video Stream...")
+vs = VideoStream(src=0).start()
+time.sleep(1.0)
+
+while True:
+ frame = vs.read()
+ frame = imutils.resize(frame, width=450)
+ gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+ rects = detector(gray, 0)
+ for rect in rects:
+ shape = predictor(gray, rect)
+ shape = face_utils.shape_to_np(shape)
+
+ # extract the left and right eye coordinates, then use the
+ # coordinates to compute the eye aspect ratio for both eyes
+ leftEye = shape[lStart:lEnd]
+ rightEye = shape[rStart:rEnd]
+ leftEAR = eye_aspect_ratio(leftEye)
+ rightEAR = eye_aspect_ratio(rightEye)
+
+ # average the eye aspect ratio together for both eyes
+ ear = (leftEAR + rightEAR) / 2.0
+ # compute the convex hull for the left and right eye, then
+ # visualize each of the eyes
+ leftEyeHull = cv2.convexHull(leftEye)
+ rightEyeHull = cv2.convexHull(rightEye)
+ cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
+ cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)
+ # check to see if the eye aspect ratio is below the blink
+ # threshold, and if so, increment the blink frame counter
+ if ear < EYE_AR_THRESH:
+ COUNTER += 1
+
+ # if the eyes were closed for a sufficient number of
+ # then sound the alarm
+ if COUNTER >= EYE_AR_CONSEC_FRAMES:
+ # if the alarm is not on, turn it on
+ if not ALARM_ON:
+ ALARM_ON = True
+
+ # draw an alarm on the frame
+ cv2.putText(frame, "Sleepiness Detected!", (10, 30),
+ cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
+ print("Sleepiness Detected!")
+ print("\a");print("\a");print("\a");print("\a");print("\a")
+ print("\a");print("\a");print("\a");print("\a");print("\a")
+ print("\a");print("\a");print("\a");print("\a");print("\a")
+
+
+
+ else:
+ COUNTER = 0
+ ALARM_ON = False
+
+ cv2.putText(frame, "Ratio: {:.2f}".format(ear), (300, 30),
+ cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
+
+ # show the frame
+ cv2.imshow("Frame", frame)
+ key = cv2.waitKey(1) & 0xFF
+
+ # if the `q` key was pressed, break from the loop
+ if key == ord("q"):
+ break
+
+# do a bit of cleanup
+cv2.destroyAllWindows()
+vs.stop() \ No newline at end of file
diff --git a/pythonProgram/function-specific-programs/speedlimit.py b/pythonProgram/function-specific-programs/speedlimit.py
new file mode 100644
index 0000000..7a21595
--- /dev/null
+++ b/pythonProgram/function-specific-programs/speedlimit.py
@@ -0,0 +1,35 @@
+import overpy
+import sys
+import simplejson as sjson
+import json
+import geocoder
+
+g = geocoder.ip('me')
+
+def maxspeed(coordinates, radius):
+ lat, lon = coordinates
+ api = overpy.Overpass()
+
+ result = api.query("""
+ way(around:""" + radius + """,""" + lat + """,""" + lon + """) ["maxspeed"];
+ (._;>;);
+ out body;
+ """)
+ results_list = []
+ for way in result.ways:
+ road = {}
+ road["name"] = way.tags.get("name", "n/a")
+ road["speed_limit"] = way.tags.get("maxspeed", "n/a")
+ nodes = []
+ for node in way.nodes:
+ nodes.append((node.lat, node.lon))
+ road["nodes"] = nodes
+ results_list.append(road)
+ return results_list
+
+
+results = maxspeed((sys.argv[1], sys.argv[2]), sys.argv[3])
+# Alternative
+# results = maxspeed((lat, long, radius))
+speedlimit = sjson.dumps(results[0]['speed_limit']).strip('\"')
+print(speedlimit) \ No newline at end of file
diff --git a/pythonProgram/function-specific-programs/tweet.py b/pythonProgram/function-specific-programs/tweet.py
new file mode 100644
index 0000000..9903edd
--- /dev/null
+++ b/pythonProgram/function-specific-programs/tweet.py
@@ -0,0 +1,43 @@
+"""
+import tweepy
+
+#twitter application credentials
+consumer_key="addYours"
+consumer_secret="addYours"
+
+#twitter user credentials
+access_token="AddYours"
+access_token_secret="AddYours"
+
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+
+tweepyapi = tweepy.API(auth)
+
+tweepyapi.update_status('Hello World!')
+print("Hello " + tweepyapi.me().name)
+"""
+
+import tweepy
+
+def get_api(cfg):
+ auth = tweepy.OAuthHandler(cfg['consumer_key'], cfg['consumer_secret'])
+ auth.set_access_token(cfg['access_token'], cfg['access_token_secret'])
+ return tweepy.API(auth)
+
+def main():
+ # Fill in the values noted in previous step here
+ cfg = {
+ "consumer_key" : consumer_key,
+ "consumer_secret" : consumer_secret,
+ "access_token" : access_token,
+ "access_token_secret" : access_token_secret
+ }
+
+ api = get_api(cfg)
+ tweet = "Hello, world!"
+ status = api.update_status(status=tweet)
+ # Yes, tweet is called 'status' rather confusing
+
+if __name__ == "__main__":
+ main()
diff --git a/pythonProgram/function-specific-programs/zomato-api.txt b/pythonProgram/function-specific-programs/zomato-api.txt
new file mode 100644
index 0000000..802c636
--- /dev/null
+++ b/pythonProgram/function-specific-programs/zomato-api.txt
@@ -0,0 +1 @@
+a530c1424d9abe5442fa22f77ce03d25
diff --git a/pythonProgram/function-specific-programs/zomato.py b/pythonProgram/function-specific-programs/zomato.py
new file mode 100644
index 0000000..26b4c43
--- /dev/null
+++ b/pythonProgram/function-specific-programs/zomato.py
@@ -0,0 +1,41 @@
+import requests
+import simplejson as sjson
+import json
+
+res = []
+
+def getRes():
+ headers = {
+ 'Accept': 'application/json',
+ 'user-key': 'a530c1424d9abe5442fa22f77ce03d25',
+ }
+
+ params = (
+ ('lat', '28.546519'),
+ ('lon', '77.179248'),
+ )
+
+ response = requests.get('https://developers.zomato.com/api/v2.1/geocode', headers=headers, params=params)
+ res = response.json()['popularity']['nearby_res']
+ return res
+
+def getDetails(res):
+ headers = {
+ 'Accept': 'application/json',
+ 'user-key': 'a530c1424d9abe5442fa22f77ce03d25',
+ }
+ url = "https://developers.zomato.com/api/v2.1/restaurant?res_id=" + str(res[0])
+ newResponse = requests.get(url, headers=headers)
+ newRes = []
+ resName = newResponse.json()['name']
+ resAddress = newResponse.json()['location']['address']
+ print("You are feeling sleepy, why don't you take a break?\n")
+ print("Your nearest eatery is " + resName,"\n")
+ print(resName + " is at " + resAddress,"\n")
+def zomato():
+
+ res = getRes()
+ getDetails(res)
+zomato()
+
+