Iris is a virtual assistant built with HTML, CSS, JavaScript, and Python, designed to help users with a variety of tasks, such as answering questions, providing reminders, and interacting with web-based services. This project leverages Python for backend processing, JavaScript for front-end logic, and HTML/CSS for a user-friendly interface.
Iris Virtual Assistant is a versatile, easy-to-use assistant created as a web-based application. Built with a combination of HTML, CSS, JavaScript, and Python, Iris can understand user inputs, respond to questions, and assist with a variety of tasks. This project is ideal for learning about front-end and back-end integration, as well as gaining experience with web development and basic AI functionality.
Iris Virtual Assistant offers the following features:
- Speech Recognition: Accepts voice input using JavaScript and Web Speech API.
- Text-to-Speech: Provides spoken responses to enhance user interaction.
- Answering Queries: Retrieves information on a variety of topics, including weather, time, and general knowledge.
- Interactive User Interface: Built with HTML/CSS to ensure a smooth user experience.
To run this project, you should have the following:
- Basic Knowledge of HTML, CSS, and JavaScript: Required for understanding the front-end components.
- Python: The back-end functionality is managed by Python, so make sure you have Python installed (Python 3.6+ is recommended).
- Node.js (Optional): Useful for installing additional JavaScript packages if you plan to extend the project.
- Clone the Repository:
git clone https://github.com/GN-SR/Iris.git cd Iris