SULAIMAN-5-AHMED

import pandas as pd
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
import matplotlib.pyplot as plt

data = pd.read_csv('music.csv') #THIS WORKS FOR SMALL DATA 

X = data.drop(columns=['genre'])
y = data['genre']

SULAIMAN-5-AHMED

import cv2 as cv

cap = cv.VideoCapture(0)
while True:
    successs, img = cap.read()
    gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
    haar_cascade = cv.CascadeClassifier("haar_face.xml")
    face_detect = haar_cascade.detectMultiScale(gray,1.1,12)
    for (x,y,w,h) in face_detect:
        cv.rectangle(img,(x,y),(x+w,y+h),(0,256,0),2)

SULAIMAN-5-AHMED

import speech_recognition as sr
import webbrowser

recog = sr.Recognizer()
with sr.Microphone() as source:
    print('WHAT DO YOU WANT TO SEARCH: ')
    audio = recog.listen(source)
    try:

        text = recog.recognize_google(audio)

SULAIMAN-5-AHMED

import cv2
import mediapipe as mp
import time

cap = cv2.VideoCapture(0)

mphands = mp.solutions.hands
hands = mphands.Hands()
mpdraw = mp.solutions.drawing_utils

SULAIMAN-5-AHMED

import cv2
import mediapipe as mp

cap = cv2.VideoCapture(0)
mpDraw = mp.solutions.drawing_utils
mpPose = mp.solutions.pose
pose = mpPose.Pose()
while True:
    success, img = cap.read()
    imgRgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

SULAIMAN-5-AHMED

import cv2
import mediapipe as mp
import time

cap = cv2.VideoCapture(0)
pTime = 0
mpFacedtect = mp.solutions.face_detection
mpDraw = mp.solutions.drawing_utils
facetect = mpFacedtect.FaceDetection()
while True:

SULAIMAN-5-AHMED

import cv2
import mediapipe as mp
import numpy as np
import math
from ctypes import cast, POINTER
from comtypes import CLSCTX_ALL
from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume

cap = cv2.VideoCapture(0)