"My AI Assistant" is a sophisticated virtual assistant designed to simplify daily tasks, provide information, and assist users in various activities using artificial intelligence (AI) techniques.
- Natural Language Understanding: Interprets user commands accurately using advanced natural language processing (NLP) algorithms,
- Task Automation: Automates repetitive tasks such as setting reminders, sending emails, managing calendars, and controlling smart home devices.
- Information Retrieval: Provides real-time information on weather, news, sports scores, and more by accessing internet resources.
- Personalization: Learns user preferences and adapts responses and recommendations accordingly for a tailored experience.
- Voice Interaction: Supports voice commands for hands-free operation and accessibility using speech recognition technologies.
- Extensibility: Easily extendable with additional skills and integrations with third-party services through modular architecture and APIs.
- Natural Language Processing (NLP): SpaCy, NLTK
- Machine Learning: TensorFlow, Scikit-Learn
- Backend Development: Python, Flask/Django
- Frontend Development: React.js, HTML/CSS
- Database: SQLite, MongoDB
- Voice Recognition: Google Speech API, SiriKit (for iOS)
- Integration: APIs for weather, news, and other services
- Clone the repository:
git clone https://github.com/yourusername/my-ai-assistant.git
- Navigate to the project directory:
cd my-ai-assistant
- Install backend dependencies:
pip install -r requirements.txt
- Install frontend dependencies:
npm install
- Configure the assistant with API keys and any required credentials.
- Deploy and run the application.
- Start the AI assistant application.
- Interact with the assistant using text or voice commands.
- Explore different features such as task automation, information retrieval, and personalization.
- Provide feedback and suggestions for improving the assistant's functionality.
This project is licensed under the MIT License. See the LICENSE file for details.