added quiz materials

assets/quiz.json

@@ -1,102 +1,92 @@
 [
     {
-        "question": "Which of the following best describes speech recognition?",
+        "question": "Which of the following best describes emotion detection?",
         "options": [
-            "Teaching computers to understand human speech",
+            "Teaching computers to understand human emotions",
             "Teaching humans to understand computer languages",
-            "Teaching computers to write code",
-            "Teaching humans to speak multiple languages"
+            "Teaching computers to create video games",
+            "Teaching humans to recognize facial features"
         ],
-        "answer": "Teaching computers to understand human speech"
+        "answer": "Teaching computers to understand human emotions"
     },
     {
-        "question": "What is one of the popular applications of speech recognition?",
+        "question": "What programming language is commonly used in developing emotion detection applications?",
         "options": [
-            "Facial recognition",
-            "Virtual reality gaming",
-            "Voice assistants",
-            "Emotion detection"
-        ],
-        "answer": "Voice assistants"
-    },
-    {
-        "question": "Which decade saw the introduction of Hidden Markov Models (HMMs) in speech recognition?",
-        "options": [
-            "1960s",
-            "1970s",
-            "1980s",
-            "1990s"
+            "Python",
+            "Java",
+            "C++",
+            "Ruby"
         ],
-        "answer": "1980s"
+        "answer": "Python"
     },
     {
-        "question": "What was the purpose of the DARPA challenges in speech recognition?",
+        "question": "What is the purpose of OpenCV in an emotion detection application?",
         "options": [
-            "To promote research and advancements in the field",
-            "To train voice assistants",
-            "To improve internet connectivity",
-            "To develop social media platforms"
+            "To analyze and manipulate images and videos",
+            "To recognize and understand human emotions",
+            "To create graphical user interfaces",
+            "To generate statistical reports"
         ],
-        "answer": "To promote research and advancements in the field"
+        "answer": "To analyze and manipulate images and videos"
     },
     {
-        "question": "What role did neural networks play in speech recognition?",
+        "question": "Why is it important to have a diverse dataset when training an emotion detection model?",
         "options": [
-            "They helped in translating spoken language",
-            "They allowed for automatic extraction of features from speech data",
-            "They facilitated handwriting recognition",
-            "They improved internet security"
+            "It helps the model better understand different facial expressions",
+            "It improves the performance of the computer's processor",
+            "It makes the application run faster",
+            "It reduces the training time for the model"
         ],
-        "answer": "They allowed for automatic extraction of features from speech data"
+        "answer": "It helps the model better understand different facial expressions"
     },
     {
-        "question": "Which popular voice assistant was introduced in 2011?",
+        "question": "What is the final step after training the model in an emotion detection application?",
         "options": [
-            "Siri",
-            "Alexa",
-            "Cortana",
-            "Google Assistant"
+            "Collect more data for training",
+            "Test the model's accuracy and performance",
+            "Install additional software plugins",
+            "Optimize the application's user interface"
         ],
-        "answer": "Siri"
+        "answer": "Test the model's accuracy and performance"
     },
     {
-        "question": "What recent advancements have contributed to the improvement of speech recognition?",
+        "question": "How does the inference process work in an emotion detection application?",
         "options": [
-            "Neural networks and deep learning",
-            "Augmented reality technology",
-            "Quantum computing",
-            "Robotics"
+            "It analyzes facial features and predicts the associated emotion",
+            "It collects user feedback and improves the model's accuracy",
+            "It converts emotions into numerical values for analysis",
+            "It adjusts the application's settings based on user preferences"
         ],
-        "answer": "Neural networks and deep learning"
+        "answer": "It analyzes facial features and predicts the associated emotion"
     },
     {
-        "question": "In which field is speech recognition commonly used to convert spoken words into written text?",
+        "question": "What is an example of a real-world application of emotion detection technology?",
         "options": [
-            "Medical diagnosis",
-            "Automotive engineering",
-            "Transcription services",
-            "Space exploration"
+            "Virtual reality gaming",
+            "Weather forecasting",
+            "Online shopping",
+            "Recipe suggestions"
         ],
-        "answer": "Transcription services"
+        "answer": "Virtual reality gaming"
     },
     {
-        "question": "How does speech recognition technology benefit individuals with disabilities?",
+        "question": "What is the importance of ethical considerations in emotion detection applications?",
         "options": [
-            "It helps improve memory and cognitive skills",
-            "It enables them to interact with technology through voice commands",
-            "It provides physical therapy",
-            "It helps improve vision and hearing abilities"
+            "Ensuring privacy and consent when collecting data",
+            "Optimizing the application's performance",
+            "Reducing the complexity of the model",
+            "Enhancing the visual appearance of the application"
         ],
-        "answer": "It enables them to interact with technology through voice commands"
+        "answer": "Ensuring privacy and consent when collecting data"
     },
     {
-        "question": "Which speech recognition system developed by OpenAI is known for its state-of-the-art performance?",
+        "question": "What can students do to further explore and improve their emotion detection application?",
         "options": [
-            "Whisper",
-            "Roomba",
-            "Siri",
-            "Echo"
+            "Experiment with different image preprocessing techniques",
+            "Rewrite the entire code from scratch",
+            "Avoid using real-time video feeds for testing",
+            "Skip the testing phase and move directly to deployment"
         ],
-        "answer": "Whisper"
+        "answer": "Experiment with different image preprocessing techniques"
     }
 ]