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15.  What is the fundamental technology behind Facial Recognition Software?
                      Ans. Facial Recognition Software relies on Computer Vision as its fundamental technology, used in
                      security protocols and payment procedures.

                 16.  Explain the concept of conversational user interface.
                      Ans. It’s a computer interface emulating human conversation, like a chatbot, allowing users to interact
                      through text.
                 17.  What is the significance of evaluating an AI model?
                      Ans. Model evaluation helps assess the reliability and performance of the AI model by using a separate
                      test dataset.
                 18.  Explain the role of the Reality condition in model evaluation.
                      Ans. "Reality" represents the actual state of the area when the model makes predictions, crucial for
                      understanding accuracy.

                 19.  Why is a True Positive outcome important in model evaluation?
                      Ans. True Positive indicates the model correctly predicted a positive reality, demonstrating the model
                      effectiveness.
                 20.  How does a confusion matrix contribute to evaluating model performance?
                      Ans. A confusion matrix provides a summarised view of the model, prediction outcomes, aiding in
                      assessing True Positive and Negative.
                 21.  Name the three main domains of AI.
                      Ans. Data Science, Computer Vision, and Natural Language Processing (NLP)

                 22.  What are AI ethics?
                      Ans. AI ethics deal with the moral principles guiding the development and use of AI, such as fairness,
                      transparency, and privacy.
                 23.  What are the stages of the AI Project Cycle?
                      Ans. Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation, and Deployment

                 24.  Name three Python libraries commonly used in AI.
                      Ans. NumPy, Pandas, and Matplotlib
                 25.  What is NumPy used for in Python?
                      Ans. NumPy is used for numerical computations, such as array operations and mathematical functions.

                 26.  What are the common types of graphs used in data visualisation?
                      Ans. Line chart, Bar graph, Scatter plot, and histogram
                 27.  Explain the term “pixel.”
                      Ans. A pixel is the smallest unit of a digital image, representing a single point of colour.
                 28.  What is the purpose of OpenCV in AI?

                      Ans. OpenCV is an open-source library used for image processing and computer vision tasks.
                 29.  What are RGB images?
                      Ans. RGB images use three colour channels—Red, Green, and Blue—to represent colours in a digital
                      image.
                 30.  What is tokenisation in NLP?
                      Ans. Tokenisation is the process of breaking a text into smaller units like words or sentences.



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