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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.