AstroChat Desktop - Cross-Platform Chat and AI Assistant

AstroChat Desktop is a feature-rich application that integrates a real-time chat system, AI voice assistant, and several advanced functionalities. It is built using Python, Tkinter for the user interface, and Firebase for real-time chat synchronization with the mobile version. The desktop app also provides real-time updates through a News API, Wikipedia API, and YouTube search using both voice and text inputs. It is designed to function cross-platform with features like threaded processes to prevent crashes and local caching for optimized performance.

Features

1. AI Voice Assistant

• Voice Command Integration: The AI assistant can capture keywords from speech and convert them to text using speech-to-text technology.
• Threading for Stability: To prevent unwanted crashes, threading is used for voice command processing, ensuring smooth operation even when handling multiple tasks simultaneously.
• Real-time Voice-to-Text: Users can use voice commands for searching YouTube, getting Wikipedia information, and navigating through the app.

2. Real-time Chat with Firebase

• The desktop version is fully integrated with the AstroChat Android app via Firebase, allowing seamless real-time communication between the platforms.
• Group Chat Room: The desktop app also supports group chats through a TCP/IP protocol, with messages exchanged in real-time between users in a local network. These messages are not stored in Firebase to maintain privacy.

3. Dashboard with Latest Trends

• The app includes a dashboard that displays the latest trends, such as top news stories and updates, powered by the News API.
• This dashboard updates in real-time, providing users with the latest information at their fingertips.

4. Local Authentication and Caching

• Authentication: User authentication is handled using local cache and SQL for secure and fast login processes without always relying on external services.
• Local Data Storage: Caching is used to store frequently accessed data locally, ensuring a faster and more efficient user experience.

5. Cross-Platform Support

• The app is designed to run across multiple platforms, ensuring that users on different operating systems (Windows, macOS, Linux) can interact with the app without issues.

6. Search and Query Features

• YouTube Search: Users can search YouTube videos using either voice commands or text input directly within the app.
• Wikipedia Queries: The voice assistant can also fetch information from Wikipedia, enabling users to ask questions or get data on various topics, all through voice or text.

7. UI and Navigation

• The UI is built using Tkinter, providing a clean, intuitive design for interacting with the application.
• Users can navigate between pages and perform actions using voice commands, making the app more interactive and accessible.

How It Works

1. Voice Assistant Activation:

   • The voice assistant listens for commands and processes speech-to-text to execute various functions such as searching YouTube or Wikipedia.

2. Real-time Communication:

   • Messages sent from the Android app are immediately synchronized with the desktop app via Firebase.
   • Group chats use TCP/IP protocol for communication, which is not stored in Firebase but rather managed locally within the network.

3. News and Trends:

   • The latest news trends are pulled in real-time via the News API and displayed on the dashboard.

4. Search Capabilities:

   • Voice and text inputs trigger search queries on YouTube and Wikipedia, returning relevant results to the user.

Technologies Used

• Python: For building the core logic and handling real-time updates.
• Tkinter: For creating the graphical user interface (GUI).
• Firebase: For real-time synchronization of messages between the mobile and desktop apps.
• News API: To fetch and display the latest news trends.
• Speech-to-Text: For converting voice commands into text.
• TCP/IP Protocol: For handling real-time group chat communications that are not stored in Firebase.
• SQL & Local Cache: For managing user authentication and storing cached data.

Demo and Usage

You can verify the functionality through the code sample available at AstroChat Desktop Complete Code.

This project demonstrates the integration of multiple technologies to create a versatile and interactive cross-platform chat and AI assistant application. It combines real-time messaging, voice recognition, and seamless communication with a sleek user interface.

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Feel free to check out the code in the repository and contribute to the project!