BLAZE - Your AI-Powered Personal Assistant 🧠🚀

Welcome to BLAZE, a powerful and flexible AI assistant created in Python! With over 30 functions, BLAZE is here to automate tasks, fetch real-time information, and make life easier. From managing system applications to automating web searches, emails, and even game launching, BLAZE is your tech-savvy sidekick.

🎉 Features

BLAZE offers a wide range of features designed to assist you in various ways, including:

• 🎤 Voice Control: Manage applications and automate tasks using voice commands
• 📧 Email Automation: Send emails effortlessly with voice-activated commands
• 🌐 Web Searching: Instantly search Wikipedia, Google, and YouTube for information
• 📰 News & Weather: Get real-time news updates and weather forecasts
• 🎮 Game Launching: Open popular games and applications with simple commands
• 🤖 Advanced Features: Over 30 functions for a versatile virtual assistant
• 🖥️ Hands-Free Control: Enjoy hands-free interaction with your device

💡 Key Insights

BLAZE brings together powerful technologies and libraries to create a truly interactive AI experience:

• 💬 Voice Recognition Technology: Leveraging speech recognition for interactive device control
• 🔒 Security Measures: Ensures sensitive data protection
• 🌍 Integration with Online Services: Access real-time information services
• 🖱️ Automation with GUI Tools: Streamline tasks with PyAutoGUI
• 🎮 Gaming Integration: Voice-activated game launching
• 📚 Educational Applications: API-powered information retrieval

🛠️ Installation

1. Clone the Repository:

git clone https://github.com/shivxmr/ai-assistant.git

2. Navigate to Directory:

cd ai-assistant

3. Set Up Virtual Environment:

python -m venv venv

4. Activate Virtual Environment:

   • Windows:

   venv\Scripts\activate

   • Linux/macOS (depending on your shell):

   source venv/Scripts/activate.sh
   # OR
   source venv/Scripts/activate.fish

5. Install Required Packages:

pip install -r requirements.txt

6. Configure API Keys:

   • Set up API keys in .env file
   • Secure sensitive data appropriately

7. Run the Application:

python main.py

🛠️ Future Enhancements

• Advanced AI Integration
• Task Scheduling
• Enhanced Security

🤝 Contributing

1. Fork the repository
2. Create new branch:

git checkout -b feature-branch

3. Commit changes:

git commit -m "Add new feature"

4. Push to branch:

git push origin feature-branch

5. Open Pull Request