Upload Project 2.ipynb

Project 2.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "28222c2a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: opencv-python in c:\\users\\sj992\\anaconda3\\lib\\site-packages (4.8.1.78)\n",
+      "Requirement already satisfied: numpy>=1.17.0 in c:\\users\\sj992\\anaconda3\\lib\\site-packages (from opencv-python) (1.23.5)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
+   "source": [
+    "pip install opencv-python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "656a8c72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2\n",
+    "\n",
+    "# Load the pre-trained face detection model\n",
+    "face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')\n",
+    "\n",
+    "# Function to perform real-time face detection from webcam\n",
+    "def detect_faces_webcam():\n",
+    "    cap = cv2.VideoCapture(0)  # 0 corresponds to the default camera (you may need to adjust this value)\n",
+    "\n",
+    "    while True:\n",
+    "        # Capture frame-by-frame\n",
+    "        ret, frame = cap.read()\n",
+    "\n",
+    "        # Convert the frame to grayscale\n",
+    "        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
+    "\n",
+    "        # Detect faces in the frame\n",
+    "        faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)\n",
+    "\n",
+    "        # Draw rectangles around the faces\n",
+    "        for (x, y, w, h) in faces:\n",
+    "            cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)\n",
+    "\n",
+    "        # Display the result\n",
+    "        cv2.imshow('Face Detection', frame)\n",
+    "\n",
+    "        # Break or exit the loop when 'e' key is pressed\n",
+    "        if cv2.waitKey(1) & 0xFF == ord('e'):\n",
+    "            break\n",
+    "\n",
+    "    # Release the webcam and close the window\n",
+    "    cap.release()\n",
+    "    cv2.destroyAllWindows()\n",
+    "detect_faces_webcam()    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "a8cd511e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tkinter as tk\n",
+    "from tkinter import messagebox\n",
+    "import random\n",
+    "\n",
+    "class FlashcardQuizApp:\n",
+    "    \n",
+    "    def __init__(self,root):\n",
+    "        self.root = root\n",
+    "        self.root.title(\"Flashcard Quiz App\") \n",
+    "        self.flashcards = [\n",
+    "            {\"question\" : \"Currency of india\",\"answer\" : \"rupee\"},\n",
+    "            {\"question\" : \"president of india\",\"answer\" : \"Modi\"},\n",
+    "            ]\n",
+    "        self.question_label = tk.Label(root,text=\"\",font=(\"Times Now Roman\",16))\n",
+    "        self.answer_entry = tk.Entry(root,font=(\"Times Now Roman\",14))\n",
+    "        self.submit_button = tk.Button(root,text = \"Submit answer\", command = self.check_answer)\n",
+    "        self.next_button = tk.Button(root,text = \"Next Question\",command = self.next_question)\n",
+    "        \n",
+    "        self.question_label.pack(pady=20)\n",
+    "        self.answer_entry.pack(pady=10)\n",
+    "        self.submit_button.pack(pady=10)\n",
+    "        self.next_button.pack(pady=10)\n",
+    "#set variable\n",
+    "        self.current_flashcard = None\n",
+    "        self.next_question()\n",
+    "        \n",
+    "    def next_question(self):\n",
+    "        self.current_flashcard = random.choice(self.flashcards)\n",
+    "        self.question_label.config(text = self.current_flashcard[\"question\"])\n",
+    "        self.answer_entry.delete(0, tk.END)\n",
+    "    \n",
+    "    def check_answer(self):\n",
+    "        user_answer = self.answer_entry.get().strip().lower()\n",
+    "        correct_answer = self.current_flashcard[\"answer\"].lower()\n",
+    "            \n",
+    "        if user_answer == correct_answer:\n",
+    "            messagebox.showinfo(\"Correct\",\"Your answer is correct!!\")\n",
+    "        else:\n",
+    "            messagebox.showerror(\"Incorrect\",f\"right answer is: {correct_answer}\")\n",
+    "                \n",
+    "        self.next_question()\n",
+    "            \n",
+    "if __name__ == \"__main__\":\n",
+    "    root = tk.Tk()\n",
+    "    app = FlashcardQuizApp(root)\n",
+    "    root.mainloop()\n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "115dfbf0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2f24af3f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}