A smart personal assistant that understands you, performs tasks across your devices, writes code, and more!
- Overview
- Features
- Tech Stack
- Installation
- Project Structure
- Usage
- Commands and Functionality
- Cross-Device Integration
- Development
- Future Enhancements
- Contributing
- License
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.
- Listens to your commands using
SpeechRecognitionand processes them.
- Speaks responses back to you using
pyttsx3and supports multiple languages using the Google Translate API.
- Automates routine tasks like opening apps, controlling system functions, and web navigation.
- Integrates AI models for natural conversations and ideation support.
- Syncs tasks and assistant commands between your desktop and mobile devices.
Languages:
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
Follow these steps to set up Tricky on your system.
git clone https://github.com/yourusername/tricky-ai-assistant.git
cd tricky-ai-assistantpython -m venv .venv
source .venv/bin/activate # For Linux/macOS
.venv\Scripts\activate # For Windowspip install -r requirements.txt- If you plan to use any APIs (like cloud-based NLP), update the
app/config.pyfile with your API keys.
python main.pyTricky/
│
├── .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)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- "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.
You can extend Tricky to work on both desktop and mobile devices.
- For Desktop: A GUI can be developed using
PyQt5orTkinter. - 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.
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.
pytestMake sure you test your modules before pushing updates.
- 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.
Feel free to contribute to this project by submitting pull requests or reporting issues. Follow the contributing guidelines to get started.
This project is licensed under the MIT License. See the LICENSE file for more information.
Developed by Rachit Bharadwaj
Connect with me on LinkedIn or GitHub.
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