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AI (Artificial Intelligence)#1

The simulation of human intelligence processes by machines, especially computer systems. Examples include speech recognition and decision-making.

API (Application Programming Interface)#2

A set of rules and tools that allows different software applications to communicate with each other, enabling integration of functionalities.

Data Handling#3

The process of collecting, storing, and managing data effectively for analysis and application in projects.

Personal Assistant#4

An AI application designed to help users manage tasks, schedule events, and provide reminders, enhancing productivity.

User Interface (UI)#5

The space where interactions between humans and machines occur, focusing on the design and layout of an application.

Mock Data#6

Fictitious data created for testing purposes, simulating real data to validate application functionality.

Debugging#7

The process of identifying and fixing errors in software to ensure it operates correctly and efficiently.

Cloud Storage#8

A model of data storage where digital data is stored in logical pools, managed by a cloud storage service provider.

Data Privacy#9

The aspect of data management that deals with the proper handling of sensitive data, ensuring user confidentiality.

Integration Testing#10

A phase in software testing where individual components are combined and tested as a group to identify interface defects.

Unit Testing#11

A software testing method by which individual units of source code are tested to determine if they are fit for use.

User Acceptance Testing (UAT)#12

A type of testing conducted by end-users to validate the functionality and usability of the application before it goes live.

API Call#13

A request made to an API to retrieve or send data, enabling communication between applications.

Data Types#14

The classification of data based on the type of value it holds, such as integers, strings, or booleans.

Feature Testing#15

The process of verifying that specific functionalities of an application work as intended.

Ethical AI#16

The consideration of moral implications and responsibilities in the development and deployment of AI technologies.

Feedback Loop#17

A process where the output of a system is circled back and used as input, improving the system over time.

Data Structure#18

A method of organizing and storing data in a computer so it can be accessed and modified efficiently.

Version Control#19

A system that records changes to files or sets of files over time, allowing for easy tracking and collaboration.

API Documentation#20

A technical document that describes how to effectively use an API, including endpoints, request formats, and response structures.

Task Scheduling#21

The process of planning and organizing tasks to be completed at specific times or under certain conditions.

Application Logic#22

The part of the application that defines how data is created, stored, and changed, influencing user interactions.

Prototype#23

An early sample or model of a product used to test concepts and gather feedback before full-scale production.

Cross-Platform#24

Refers to applications that can run on multiple operating systems or devices without modification.

Performance Testing#25

A type of testing to determine how a system performs in terms of responsiveness and stability under a particular workload.