Iris Virtual Assistant

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.

Table of Contents

• Introduction
• Features
• Project Prerequisites
• Installation
• License

Introduction

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.

Features

Iris Virtual Assistant offers the following features:

1. Speech Recognition: Accepts voice input using JavaScript and Web Speech API.
2. Text-to-Speech: Provides spoken responses to enhance user interaction.
3. Answering Queries: Retrieves information on a variety of topics, including weather, time, and general knowledge.
4. Interactive User Interface: Built with HTML/CSS to ensure a smooth user experience.

Project Prerequisites

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.

Installation

1. Clone the Repository:

   git clone https://github.com/GN-SR/Iris.git
   cd Iris
   
   
   

Project is Still in progress