Tricky - AI-Based Personal Assistant

A smart personal assistant that understands you, performs tasks across your devices, writes code, and more!

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Table of Contents

• Overview
• Features
• Tech Stack
• Installation
• Project Structure
• Usage
• Commands and Functionality
• Cross-Device Integration
• Development
• Future Enhancements
• Contributing
• License

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Overview

Tricky is a powerful AI-based personal assistant that brings the vision of intelligent, conversational agents to life. Built with Python, it combines advanced speech recognition, task automation, natural language processing, and cross-device integration to help you accomplish your goals efficiently.

Tricky can:

• Recognize and respond to your voice.
• Perform a variety of tasks, from opening applications to writing code.
• Translate languages and handle speech synthesis.
• Operate seamlessly across desktop and mobile devices.

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Features

🔊 Speech Recognition

• Listens to your commands using SpeechRecognition and processes them.

🎤 Text-to-Speech & Translation

• Speaks responses back to you using pyttsx3 and supports multiple languages using the Google Translate API.

🖥️ Automation

• Automates routine tasks like opening apps, controlling system functions, and web navigation.

🧠 AI-Assisted Conversations

• Integrates AI models for natural conversations and ideation support.

📱 Cross-device Support

• Syncs tasks and assistant commands between your desktop and mobile devices.

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Tech Stack

Languages:

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Core Libraries:

• Speech Recognition: speech_recognition
• Text-to-Speech: pyttsx3, gTTS
• Translation: googletrans
• Task Automation: pyautogui
• GUI: PyQt5, Tkinter
• Mobile (Optional): React Native, Kivy
• Testing: unittest, pytest

Other Tools:

• Virtual Environment: .venv
• Package Management: pip

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Installation

Follow these steps to set up Tricky on your system.

1. Clone the Repository

git clone https://github.com/yourusername/tricky-ai-assistant.git
cd tricky-ai-assistant

2. Create and Activate Virtual Environment

python -m venv .venv
source .venv/bin/activate  # For Linux/macOS
.venv\Scripts\activate     # For Windows

3. Install Dependencies

pip install -r requirements.txt

4. Configure API Keys

• If you plan to use any APIs (like cloud-based NLP), update the app/config.py file with your API keys.

5. Run the Application

python main.py

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Project Structure

Tricky/
│
├── .venv/                   # Virtual environment
├── app/
│   ├── __init__.py          # Initializes the app module
│   ├── config.py            # Configuration (API keys, settings)
│   ├── core/
│   │   ├── assistant.py     # Main logic for handling commands
│   │   ├── language.py      # Speech recognition, translation, and TTS
│   │   ├── automation.py    # Task automation (opening apps, etc.)
│   ├── gui/
│   │   ├── main_window.py   # Main GUI (PyQt or Tkinter)
│   └── utils/
│       ├── logger.py        # Logging functionality
├── tests/                   # Unit tests for modules
├── resources/
│   ├── images/              # Store images (like Tricky's logo)
│   └── audio/               # Audio files (if needed)
├── main.py                  # Entry point of the application
├── requirements.txt         # Dependencies
└── README.md                # Project overview (this file)

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Usage

Once the setup is complete, you can start Tricky using voice or text commands. You can invoke different tasks by either typing or speaking them.

python main.py

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Commands and Functionality

🔍 Example Commands:

• "Hello": Tricky will respond with a greeting.
• "Open browser": Opens a new browser window.
• "Translate 'Hello' to Spanish": Provides translation using googletrans.
• "Write Python code to reverse a list": AI code generation for specific tasks.

You can add more commands by extending the app/core/assistant.py and app/core/automation.py files.

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Cross-Device Integration

You can extend Tricky to work on both desktop and mobile devices.

• For Desktop: A GUI can be developed using PyQt5 or Tkinter.
• For Mobile: You can integrate React Native or Kivy to make it work seamlessly on phones, utilizing speech-to-text and TTS for interactions.

To sync tasks across devices, implement cloud integration using Firebase or AWS in config.py.

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Development

Adding New Features

You can add custom commands by editing:

• assistant.py: For managing the main logic.
• automation.py: For task automation (like opening apps or performing system commands).
• language.py: For adding speech recognition or translation features.

Running Tests

pytest

Make sure you test your modules before pushing updates.

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Future Enhancements

• Advanced AI Integration: Add GPT-like capabilities for intelligent, contextual conversations.
• Mobile App: Develop a companion app for mobile use.
• Cloud Sync: Sync user data across devices using cloud storage solutions.
• Voice Customization: Allow users to choose different voices and languages for TTS.

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Contributing

Feel free to contribute to this project by submitting pull requests or reporting issues. Follow the contributing guidelines to get started.

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License

This project is licensed under the MIT License. See the LICENSE file for more information.

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Contact

Developed by Rachit Bharadwaj
Connect with me on LinkedIn or GitHub.

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Screenshots:

Add some visual appeal by including screenshots of your assistant in action (optional).

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With this README file, you now have a visually appealing and structured guide to your project, ready for sharing with others! Let me know if you'd like to make any changes or include additional sections.