jaicodes217/ai-voice-assistant

Purpose and Entry Point

This repository implements a minimal Python AI voice assistant intended to run in Google Colab. Its single executable entry point is voiceassitant.py; README.md documents the Colab-oriented usage model.

Runtime Model

The assistant runs interactively in a Python/Google Colab session rather than as a web service or packaged application. It requires microphone permission and audio playback support from the hosting environment.

• voiceassitant.py

• README.md

Voice Input Stage

The assistant records audio from the user and passes it through a speech-recognition layer to obtain text. Google Colab is an important boundary here: browser/Colab microphone capture must bridge into the Python runtime.

• voiceassitant.py

Speech-to-Text Processing

Recognized speech is converted into a text command using the SpeechRecognition Python library. Recognition failures, unavailable audio input, and unrecognized speech are likely operational boundaries for this stage.

• voiceassitant.py

Command Handling

The core application logic processes basic spoken commands after transcription. This is the decision point between user input and generated response; the repository does not indicate a separate command-routing module or external AI backend.

• voiceassitant.py

Text-to-Speech Output

The assistant converts its textual response to audio using Google Text-to-Speech (gTTS) and plays the result back to the user. This creates an external service/runtime dependency for synthesis and a local/Colab audio-output boundary.

• voiceassitant.py

External Dependencies and Infrastructure

Material dependencies are Python, Google Colab, SpeechRecognition, and gTTS. No database, API server, frontend, container infrastructure, or multi-module application architecture is present in the repository.

• README.md

• voiceassitant.py