quiz.py

import cv2
import csv
from cvzone.HandTrackingModule import HandDetector
import cvzone
import time

def quiz_main():
    cap = cv2.VideoCapture(0)
    cap.set(3, 1280)
    cap.set(4, 720)
    detector = HandDetector(detectionCon=0.8)

    class MCQ():
        def __init__(self, data):
            self.question = data[0]
            self.choice1 = data[1]
            self.choice2 = data[2]
            self.choice3 = data[3]
            self.choice4 = data[4]
            self.answer = int(data[5])

            self.userAns = None

        def update(self, cursor, bboxs):

            for x, bbox in enumerate(bboxs):
                x1, y1, x2, y2 = bbox
                if x1 < cursor[0] < x2 and y1 < cursor[1] < y2:
                    self.userAns = x + 1
                    cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), cv2.FILLED)


    # Import csv file data
    pathCSV = r"mcqs.csv"
    with open(pathCSV, newline='\n') as f:
        reader = csv.reader(f)
        dataAll = list(reader)[1:]

    # Create Object for each MCQ
    mcqList = []
    for q in dataAll:
        mcqList.append(MCQ(q))

    print("Total MCQ Objects Created:", len(mcqList))

    qNo = 0
    qTotal = len(dataAll)

    while True:
        success, img = cap.read()
        img = cv2.flip(img, 1)
        hands, img = detector.findHands(img, flipType=False)

        if qNo < qTotal:
            mcq = mcqList[qNo]

            img, bbox = cvzone.putTextRect(img, mcq.question, [100, 100], 2, 2, offset=50, border=5)
            img, bbox1 = cvzone.putTextRect(img, mcq.choice1, [100, 250], 2, 2, offset=50, border=5)
            img, bbox2 = cvzone.putTextRect(img, mcq.choice2, [400, 250], 2, 2, offset=50, border=5)
            img, bbox3 = cvzone.putTextRect(img, mcq.choice3, [100, 400], 2, 2, offset=50, border=5)
            img, bbox4 = cvzone.putTextRect(img, mcq.choice4, [400, 400], 2, 2, offset=50, border=5)

            if hands:
                lmList = hands[0]['lmList']
                cursor = lmList[8]
                length, info, img= detector.findDistance(lmList[8], lmList[12], img)
                
                print(length)
                if length < 35:
                    mcq.update(cursor, [bbox1, bbox2, bbox3, bbox4])
                    if mcq.userAns is not None:
                        time.sleep(0.5)
                        qNo += 1
        else:
            score = 0
            for mcq in mcqList:
                if mcq.answer == mcq.userAns:
                    score += 1
            score = round((score / qTotal) * 100, 2)
            img, _ = cvzone.putTextRect(img, "Quiz Completed", [250, 300], 2, 2, offset=50, border=5)
            img, _ = cvzone.putTextRect(img, f'Your Score: {score}%', [700, 300], 2, 2, offset=50, border=5)

        # Draw Progress Bar
        barValue = 150 + (950 // qTotal) * qNo
        cv2.rectangle(img, (150, 600), (barValue, 650), (0, 255, 0), cv2.FILLED)
        cv2.rectangle(img, (150, 600), (1100, 650), (255, 0, 255), 5)
        img, _ = cvzone.putTextRect(img, f'{round((qNo / qTotal) * 100)}%', [1130, 635], 2, 2, offset=16)

        cv2.imshow("Img", img)
        cv2.waitKey(1)

        key = cv2.waitKey(1)
        if key == ord('q'):
            break