AI-Powered Personal Assistant

This AI-based personal assistant chatbot is designed to handle a variety of tasks, including automation, real-time search, chatbot interactions, and speech-to-text conversions. It integrates multiple functionalities and APIs to deliver an interactive user experience.

🚀 Features

• Voice Command Recognition: Converts speech to text and executes commands.
• Automation: Performs system-related tasks (e.g., opening/closing applications, playing music, adjusting system settings).
• Real-time Search Engine: Retrieves live information using APIs.
• Chatbot: Responds to general queries using an LLM-powered chatbot.
• Image Generation: Utilizes APIs to generate images based on user prompts.
• Text-to-Speech: Converts AI responses into spoken output.
• Graphical User Interface (GUI): Provides an intuitive chat interface.

🛠 Installation

Prerequisites

• Python 3.8+
• Virtual Environment (optional but recommended)

Setup

1. Clone the Repository

   git clone https://github.com/Ayush086/AI-Assistant.git
   cd your-repo-name

2. Create a Virtual Environment (Optional but recommended)

   python -m venv venv
   source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install Dependencies

   pip install -r Requirements.txt

4. Set Up Environment Variables Create a .env file in the project's root directory and add the following:

   USERNAME=your_username
   ASSISTANTNAME=your_assistant_name
   ASSISTANTVOICE=your_preferred_voice
   API_KEY=your_api_key_here
   ANOTHER_API_KEY=your_other_api_key

5. Run the Assistant

   python main.py

📂 File Structure

📂 Project
│── 📂 Backend
│   ├── Automation.py
│   ├── Chatbot.py
│   ├── ImageGeneration.py
│   ├── Model.py
│   ├── RealtimeSearchEngine.py
│   ├── SpeechToText.py
│   ├── TextToSpeech.py
│
│── 📂 Frontend
│   ├── GUI.py
│
│── 📂 Data
│   ├── ChatLog.json
│
│── .env  # Environment variables
│── .gitignore
│── requirements.txt
│── main.py
│── README.md

🎤 Usage

1. Activate the virtual environment (if using one)

   source venv/bin/activate  # Windows: venv\Scripts\activate

2. Run the assistant

   python main.py

3. Interact via Voice or GUI
   • Speak commands into the microphone.
   • Use the chat interface for text-based interactions.

🤝 Contributing

Contributions are welcome! Feel free to submit issues or pull requests. Please follow best coding practices and document any changes accordingly.

⚠️ Disclaimer

This assistant relies on third-party APIs. Ensure you comply with their respective terms and policies when using them.

---

🎉 Happy Coding!