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ARTIFICIAL INTELLIGENCE (AI)#1

The simulation of human intelligence in machines, enabling them to perform tasks like learning and problem-solving.

CHATBOT#2

A software application designed to simulate human conversation, often used in customer service to answer queries.

NATURAL LANGUAGE PROCESSING (NLP)#3

A field of AI focused on the interaction between computers and humans using natural language.

RULE-BASED LOGIC#4

A system that uses predefined rules to determine responses in a chatbot, guiding its decision-making.

PYTHON#5

A high-level programming language known for its readability and simplicity, widely used in AI and chatbot development.

DECISION TREE#6

A flowchart-like structure used to make decisions based on specific conditions, applicable in chatbot logic.

TOKENIZATION#7

The process of breaking down text into smaller units, like words or phrases, essential for NLP.

STEMMING#8

A text processing technique that reduces words to their root form, aiding in understanding user input.

FUNCTION#9

A block of reusable code in Python that performs a specific task, helping organize and simplify programming.

ERROR HANDLING#10

Techniques in programming to manage and respond to errors, ensuring the chatbot runs smoothly.

USER TESTING#11

A method to evaluate the chatbot's performance by having real users interact with it and provide feedback.

DEBUGGING#12

The process of identifying and fixing bugs or errors in the chatbot's code to improve functionality.

FLOWCHART#13

A visual representation of a process or system, often used to plan chatbot logic and decision-making.

PREDEFINED QUESTIONS#14

Specific queries that the chatbot is programmed to recognize and respond to, forming its knowledge base.

SCRIPT#15

A set of instructions written in Python that defines the chatbot's behavior and responses.

COLLABORATIVE PROGRAMMING#16

Working together with others to write code, enhancing problem-solving and coding skills.

USER EXPERIENCE (UX)#17

The overall experience a user has while interacting with the chatbot, influencing its effectiveness.

INTEGRATING FEEDBACK#18

The process of incorporating user feedback to improve the chatbot's responses and functionality.

TESTING METHODOLOGIES#19

Various strategies used to assess the performance and reliability of the chatbot during development.

ITERATIVE TESTING#20

A repetitive testing process that allows for continuous improvement based on user feedback.

DOCUMENTING BUGS#21

Recording issues encountered during testing, along with solutions, to enhance the chatbot's reliability.

USER MANUAL#22

A guide that explains how to use the chatbot, including its features and functionalities.

PRESENTATION SKILLS#23

Techniques for effectively showcasing the chatbot, including communication and visual aids.

PROBLEM-SOLVING SKILLS#24

The ability to identify issues and develop solutions, crucial in programming and chatbot development.

APPLICATION PROGRAMMING INTERFACE (API)#25

A set of rules that allows different software applications to communicate, often used in chatbot integration.