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b-suhas/tuntun-mausi-voice-assistant

Analysis updated 2026-05-18

0PythonAudience · vibe coderComplexity · 2/5Setup · easy

TLDR

A beginner Python project: a Hinglish speaking voice assistant that wakes on a spoken phrase and can open websites, tell jokes, and answer casual chat.

Mindmap

mindmap
  root((repo))
    What it does
      Wake word activation
      Voice commands
    Tech stack
      Python
      speech_recognition
      pyttsx3
    Use cases
      Learn speech recognition
      Browser automation
    Audience
      Python beginners
      Hobbyists

Code map

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What do people build with it?

USE CASE 1

Study a working example of wake word detection combined with speech to text and text to speech.

USE CASE 2

Use as a starting template for building your own voice-controlled desktop assistant.

USE CASE 3

Trigger simple voice commands like opening a website, hearing a joke, or checking the time.

What is it built with?

Pythonspeech_recognitionpyttsx3pyjokes

How does it compare?

b-suhas/tuntun-mausi-voice-assistant0xhassaan/nn-from-scratch3ks/embedoc
Stars00
LanguagePythonPythonPython
Last pushed2023-06-08
MaintenanceDormant
Setup difficultyeasymoderatehard
Complexity2/54/51/5
Audiencevibe coderdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

Needs a microphone and an internet connection for Google speech recognition, Linux users must install extra audio packages.

No license file is mentioned in the README, so terms of reuse are unclear.

In plain English

Tuntun Mausi is a wake word voice assistant built in Python as a beginner learning project. It listens in the background and only springs into action once it hears the phrase "Tuntun Mausi". After that it waits for a spoken command and answers out loud in Hinglish, a casual mix of Hindi and English common in everyday conversation in India, giving it a playful and informal personality rather than a formal, robotic tone. Once woken up, the assistant can open websites such as Google, YouTube, LinkedIn, and GitHub in your browser, run a Google search based on a spoken query, tell you the current time or date, and speak a random joke. Casual small talk is also built in, so greetings like hello or thank you get a Hinglish-flavored reply. Voice input is converted to text using Google's speech recognition service, which needs an internet connection, while the spoken replies are generated offline through a text-to-speech library. It is built from a handful of open-source Python libraries: speech_recognition for capturing and converting voice, pyttsx3 for offline text-to-speech, pyjokes for the joke feature, and Python's built-in webbrowser module for opening sites. It runs on Windows, macOS, or Linux, though Linux users may need to install a couple of extra system packages for the microphone and speech output to work correctly. The project is meant for someone learning how speech recognition, text-to-speech, and simple browser automation fit together in Python, rather than for production use. The author describes several planned improvements, including an offline wake word detector, weather updates, music playback, and reminders, none of which are implemented yet.

Copy-paste prompts

Prompt 1
Explain how the wake word detection in this Python voice assistant works.
Prompt 2
Help me add a new voice command to Tuntun Mausi that plays music from YouTube.
Prompt 3
Walk me through installing PyAudio and espeak on Linux for this project.
Prompt 4
Show me how to replace Google's speech recognition with an offline alternative here.

Frequently asked questions

What is tuntun-mausi-voice-assistant?

A beginner Python project: a Hinglish speaking voice assistant that wakes on a spoken phrase and can open websites, tell jokes, and answer casual chat.

What language is tuntun-mausi-voice-assistant written in?

Mainly Python. The stack also includes Python, speech_recognition, pyttsx3.

What license does tuntun-mausi-voice-assistant use?

No license file is mentioned in the README, so terms of reuse are unclear.

How hard is tuntun-mausi-voice-assistant to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is tuntun-mausi-voice-assistant for?

Mainly vibe coder.

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