AI Assistant

Purpose: This Python program serves as a basic speech-to-text AI assistant. It utilizes Google's Web Speech API for speech recognition and the Gemini-1.5-Flash generative AI model for text generation. I also built show my GF I can somewhat code.

Dependencies:

• speech_recognition
• pyttsx3
• time
• google.generativeai
• os
• dotenv

Setup:

1. Create a Google Cloud Platform project and enable the Web Speech API and Generative AI API.
2. Obtain an API key for your project.
3. Create a .env file in your project directory and add the API key as GOOGLE_API_KEY.

Usage:

1. Run the Python script.
2. Speak into your microphone when prompted.
3. The assistant will process your speech and respond using the Gemini-1.5-Flash model.

Key Features:

• Speech recognition: Uses Google's Web Speech API to convert spoken words into text.
• Text-to-speech: Converts text responses into spoken words using pyttsx3.
• AI-powered responses: Leverages the Gemini-1.5-Flash model to generate contextually relevant responses.
• Conversation history: Maintains a simple conversation history to provide context for responses.

Limitations:

• Speech recognition accuracy: May vary depending on factors like background noise and microphone quality.
• AI model limitations: The Gemini-1.5-Flash model's capabilities are limited and may not always provide perfect responses.

Future enhancements:

• Improved speech recognition: Explore alternative speech recognition engines or techniques.
• Enhanced AI model: Consider using more advanced AI models with greater capabilities.
• Natural language understanding: Implement techniques to better understand the user's intent.
• Integration with other services: Connect the assistant to other services like calendars, email, or smart home devices.