✦ Desktop Assistant (AI-Powered)

A modern AI-powered Desktop Assistant built using Java (Swing) that can perform system tasks, understand voice commands, automate actions, and respond intelligently using AI.

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🚀 Features

🧠 AI Capabilities

• Integrated with Gemini AI for intelligent responses
• Natural language command processing
• AI fallback when no local feature matches

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🎤 Voice Assistant

• Voice input using Wit.ai Speech API
• Converts speech → text → executes commands
• Optional Text-to-Speech (TTS) using PowerShell + System.Speech

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💻 System Features

• Open / close applications
• Control system functions:
  • Volume up/down
  • Mute sound
  • Lock screen
• Display system information

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📁 File Management

• Search files across system
• Open file location automatically
• Create / delete / rename files & folders
• Open files directly

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⚡ Quick Commands (Sidebar)

• Time & Date
• Clipboard history
• Web search
• YouTube search
• File search with input prompt

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📊 Smart Features

• Command history tracking
• App usage tracking
• Background threaded execution (no UI freezing)

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🎨 Modern UI

• Custom dark-themed UI
• Chat-style interface
• Sidebar quick commands
• Animated microphone feedback

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🛠️ Tech Stack

🔹 Core

• Java (Swing)
• Java Sound API
• Multithreading

🔹 APIs

• Wit.ai (Speech Recognition)
• Gemini API (AI responses)

🔹 Libraries

• Apache HttpClient (API calls)
• Gson (JSON parsing)

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📂 Project Structure

org.example
│── Main.java
│
└── features
    │── Feature.java
    │── AppLaunchFeature.java
    │── FileSearchFeature.java
    │── SystemControlFeature.java
    │── GeminiFeature.java
    │── TextToSpeech.java
    │── UsageTracker.java

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⚙️ Setup Instructions

1. Clone Repository

git clone https://github.com/your-username/desktop-assistant.git
cd desktop-assistant

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2. Add API Keys

Create a .env file:

WIT_AI_TOKEN=your_wit_ai_key
GEMINI_API_KEY=your_gemini_key

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3. Run Project

mvn clean install
mvn exec:java

OR run Main.java directly in IntelliJ / Eclipse.

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🔐 Environment Variables

Access keys using:

AppConfig.WIT_AI_TOKEN
AppConfig.GEMINI_API_KEY

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🧠 How It Works

1. User enters text or voice command
2. Input is processed in background thread
3. System checks features:
   • If matched → execute locally
   • Else → send to Gemini AI
4. Response is displayed (and optionally spoken)

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🔊 Text-to-Speech

Uses Windows PowerShell + System.Speech

Flow:

Java → PowerShell → SpeechSynthesizer → Audio Output

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🧵 Multi-threading

Threads are used for:

• Voice recording
• API calls
• File searching
• Command execution

Ensures smooth and responsive UI.

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📌 Future Improvements

• Cross-platform voice engine
• Offline AI support
• Smart suggestions
• Plugin system
• Mobile integration

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💡 Use Cases

• Personal assistant
• Productivity automation
• Hands-free system control
• AI chatbot interface

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👨‍💻 Author

Vivek Patil, Tarang Acharya, Jinal Varu

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⭐ Support

If you like this project:

• Star ⭐ the repository
• Fork 🍴 it
• Contribute 💡

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📜 License

For educational and personal use.