Welcome to our Virtual Assistant project developed as part of the "Application Development using Python" course. This project aims to showcase how a virtual assistant can be built using Python to perform various tasks through text-based interactions.
Our virtual assistant is designed to understand and respond to natural language commands. It uses speech recognition and text-to-speech capabilities to interact with the user. The assistant can perform a range of tasks, including providing information, answering questions, and executing predefined commands.
This project focuses on text-based interaction and does not include a graphical user interface (GUI). The assistant responds to user commands through the terminal.
- Text-based interaction with the virtual assistant.
- Speech recognition for converting spoken language into text.
- Text-to-speech for providing audible responses.
- Perform tasks such as retrieving weather information, searching the web, and more.
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Speech Recognition: The virtual assistant uses speech recognition to convert user's spoken commands into text.
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Natural Language Processing: The text input is processed using natural language processing techniques to understand the user's intent.
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Task Execution: Based on the user's command, the virtual assistant performs tasks like fetching data from APIs, searching the web, or providing informative responses.
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Text-to-Speech: The response generated by the assistant is converted to speech using text-to-speech technology.