VAMANA is a Python-based digital assistant that provides an interactive and hands-free experience through voice commands and synthesized speech. It utilizes various APIs to understand and respond to user inputs, making it your very own virtual assistant.
- Introduction
- Features
- Prerequisites
- How to Use
- Customization
- Limitations
- Contribution
- License
- Contact
VAMANA is designed to enhance user experience by offering voice-controlled interactions and synthesized speech responses. This personal assistant can perform tasks such as answering questions, performing calculations, and more.
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Voice-based Interaction: VAMANA supports voice commands and responds with synthesized speech output for seamless interaction.
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Google Text-to-Speech: Utilizes the Google Text-to-Speech API for converting text responses into spoken words.
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Speech Recognition: Utilizes the Speech Recognition API to process user voice commands.
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Wolfram Alpha Integration: Can answer questions and perform calculations using the Wolfram Alpha API.
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Browser Automation: Capable of performing browser operations through the Selenium library.
speech_recognition
playsound
gtts
(Google Text-to-Speech)wolframalpha
selenium
chromedriver
(for Selenium)
pip install speechrecognition playsound gtts wolframalpha selenium
git clone https://github.com/your-username/vamana-personal-assistant.git
cd vamana-personal-assistant
python vamana.py
Feel free to customize the script according to your preferences. You can modify response messages, add new features, or integrate with additional APIs to expand its capabilities.
VAMANA requires an active internet connection for speech recognition and Wolfram Alpha API usage. The accuracy of speech recognition depends on microphone quality and environmental noise. Exercise caution when using browser automation; consider security implications.
Contributions to this project are welcome! If you encounter issues, find bugs, or have suggestions for improvements, feel free to open an issue or submit a pull request.
This repository's content is licensed under the MIT License. You are welcome to use and adapt the educational materials, with attribution.
For inquiries or collaborations, feel free to contact us at your@email.com.