CBSE Class 10th AI (Artificial Intelleigence) | 25. Chatbots by Abraham | Learn Smarter
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25. Chatbots

Chatbots are AI-driven programs designed to facilitate human-like conversations. They can be classified as rule-based or AI-based, employing technologies like Natural Language Processing (NLP) for better user interaction. While offering numerous benefits such as cost-effectiveness and 24/7 availability, they also face limitations including difficulty in handling complex queries and language diversity. The advancement in AI continues to enhance chatbot capabilities, making future interactions more intuitive and accessible.

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Sections

  • 25

    Chatbots

    This section covers the definition, types, functionality, applications, benefits, limitations, and future prospects of chatbots.

    Learning Practice

  • 25.1

    What Is A Chatbot?

    Chatbots are AI programs designed to simulate human conversation using Natural Language Processing (NLP).

    Learning Practice

  • 25.2

    Types Of Chatbots

    This section covers the two primary types of chatbots: Rule-Based and AI-Based, detailing their functionality and appropriate applications.

    Learning Practice

  • 25.2.1

    Rule-Based Chatbots

    This section focuses on rule-based chatbots, explaining their operational mechanics and limitations.

    Learning Practice

  • 25.2.2

    Ai-Based Chatbots

    AI-based chatbots use advanced machine learning and natural language processing to engage in human-like conversations and improve through user interactions.

    Learning Practice

  • 25.3

    How Do Chatbots Work?

    This section explores the process behind how chatbots operate, detailing user input, natural language processing, intent recognition, response generation, and output.

    Learning Practice

  • 25.3.1

    Step-By-Step Process

    This section outlines the step-by-step process of how chatbots work, highlighting key technologies involved.

    Learning Practice

  • 25.3.2

    Key Technologies Used

    This section outlines the technological foundations that enable chatbots to operate effectively.

    Learning Practice

  • 25.4

    Applications Of Chatbots

    This section explores various applications of chatbots in daily life and public services.

    Learning Practice

  • 25.4.1

    In Daily Life

    This section explores the various applications of chatbots in everyday life, highlighting their roles in customer support, banking, healthcare, education, and e-commerce.

    Learning Practice

  • 25.4.2

    In Government & Public Services

    This section discusses the application of chatbots in government and public services, highlighting their role in grievance redressal and information dissemination.

    Learning Practice

  • 25.5

    Benefits Of Using Chatbots

    Chatbots offer significant benefits for users and businesses, including availability, quick responses, cost savings, scalability, and consistency.

    Learning Practice

  • 25.6

    Limitations Of Chatbots

    Chatbots have various limitations that affect their ability to handle complex interactions effectively.

    Learning Practice

  • 25.7

    Tools To Create Chatbots (No-Code And Low-Code)

    This section introduces various no-code and low-code platforms that facilitate the creation of chatbots, highlighting their accessibility for users with different technical skills.

    Learning Practice

  • 25.7.1

    Popular Platforms

    This section highlights various popular platforms for creating chatbots, catering to both beginner and advanced developers.

    Learning Practice

  • 25.8

    Chatbot Design Best Practices

    This section outlines best practices for designing effective chatbots, emphasizing user experience and functionality.

    Learning Practice

  • 25.9

    Real-Life Case Studies

    This section presents real-life case studies of chatbots implemented in various sectors.

    Learning Practice

  • 25.9.1

    Case Study 1: Mitra Robot In Indian Hospitals

    Mitra is an AI-powered humanoid robot used in Indian hospitals to enhance patient interaction and navigation.

    Learning Practice

  • 25.9.2

    Case Study 2: Irctc's Askdisha

    IRCTC's AskDISHA is an AI chatbot designed to assist passengers with booking queries and cancellations, enhancing customer service in the railway sector.

    Learning Practice

  • 25.10

    Future Of Chatbots

    The future of chatbots involves advancements such as emotion-aware bots, multilingual capabilities, and integration with IoT.

    Learning Practice

References

Chapter_25_Chatb.pdf

Class Notes

Memorization

What we have learnt

  • Chatbots are designed to si...
  • There are two main types of...
  • Chatbots have various appli...

Final Test

Revision Tests