Flask-based web application that records sound (as PCM/WAV) and converts speech to text via Google Cloud Speech API using HTML, JavaScript, and Python

This is a simple Text-to-Voice Converter web application built using HTML, CSS, and JavaScript. It allows users to enter any text and listen to it being read aloud using the Web Speech API.

Purpose : Major Project Team Size : 4 Duration : 10 Months [ Oct. 1, 2021 - June 31, 2022 ] Key Skills : Rasa AI , Python , NLP , Flask , HTML , CSS , JavaScript It is a Web-based Chatbot to automate healthcare management with audio assistance. Users can get immediate medication for their symptoms and book appointments via an audio feature. In addition to text assistance, this chatbot has an audio assistance feature. This feature eliminates the restrictions that visually impaired patients face with currently available text-enabled healthcare chatbots. This voice-enabled chatbot was designed and developed using the Rasa interface for the backend, the Web Speech API, and the Talkify API for voice input and output, respectively. Title: ' TaBiB: Chatbot for Healthcare Automation with Audio Assistance using Artificial Intelligence '. The project was presented and was approved at the 6th National Conference of Science and Engineering (NCSEM), 2022. Tools used : Rasa AI, Python, NLP, Flask, Web Speech API, Talkify API, HTML, CSS in Atom Editor.

A simple vanilla HTML/CSS/Javascript website that allows its users to practice their english (en-US) pronunciation with the help of the Web Speech API.

This project is a Text-to-Speech Converter that transforms user input text into spoken words using the Web Speech API. Built with HTML, CSS, and JavaScript, it provides a simple and intuitive interface for real-time speech synthesis.

Convert text to speech right in your browser! A simple, responsive web app built with pure HTML, CSS, and JavaScript. Enter text, pick a voice, adjust rate and pitch, then play, pause, or stop—no dependencies, just native Web Speech API.

This is a Virtual Assistant Web App created using HTML, CSS, and JavaScript. 🧠 Features: Voice recognition using Web Speech API 🛠️ Technologies Used: HTML CSS JavaScript.

The Text-To-Speech Converter is a web-based application using HTML, CSS, and JavaScript to convert text into speech. It supports multiple voices, user-friendly interface, and utilizes the Web Speech API for functionality.

A voice assistant built using HTML, CSS and JavaScript, which uses speech to text and vice-versa features from Web Speech API to generate response based on the user's voice commands.

A simple text-to-speech web app built with HTML, CSS, and JavaScript. It converts written text into natural-sounding voice using the browser’s Speech Synthesis API. This project is great for beginners exploring web APIs, DOM manipulation, and creating interactive user experiences.

A desktop text-to-speech application built with Electron, HTML, CSS, and JavaScript. It converts written text into natural voice directly on your computer, without needing an internet connection. Perfect for beginners learning how to build desktop apps with web technologies and integrate native APIs.

A responsive web-based Text-to-Speech Converter built with HTML, CSS, and JavaScript using the Web Speech API, featuring dynamic voice selection and real-time speech synthesis.

Text to Speech (TTS) web application built using HTML, CSS, and JavaScript. Type any text, and the application will convert it into speech using the Web Speech API.

🗣️ Text-to-Speech Converter (HTML, CSS, & JavaScript) A modern, accessible web application that converts typed text into synthesized human speech. This project is built using vanilla JavaScript and the native Web Speech API, eliminating the need for external services or paid APIs.

🗣️ Text-to-Speech Converter (HTML, CSS, & JavaScript) A modern, accessible web application that converts typed text into synthesized human speech. This project is built using vanilla JavaScript and the native Web Speech API, eliminating the need for external services or paid APIs.

AI-powered Text-to-Speech (TTS) and Speech-to-Text (STT) web application built with HTML, CSS, JavaScript, and the Gemini API for high-fidelity audio conversion.

A simple and responsive Text-to-Speech Converter built with HTML, CSS, and JavaScript. Uses the Web Speech API to convert written text into natural-sounding speech with multiple voice options. 🚀🎙️

Using Javascript for Text-to-Speech In this simple application, I used Vanilla Javascript (JS) and the Web Speech API to read text content in an HTML textarea and then I have buttons like speed, play, pause and stop to control the text-to-speech.

A web-based application that uses HTML, CSS, and JavaScript to convert spoken language into text in real-time, showcasing the Web Speech API in a responsive and interactive interface

An interactive Voice Converter Web App with Text-to-Speech (TTS) and Speech-to-Text (STT) functionalities. Built using HTML, CSS, and JavaScript, it utilizes modern Web Speech APIs to enable seamless text-to-voice conversion and speech transcription. Features a user-friendly interface and cross-browser support for an enhanced experience.

A real-time Sign Language Translator built with HTML, CSS, and JavaScript. Uses MediaPipe for hand gesture detection and Web Speech API for voice output. Converts gestures into text and speech instantly, promoting accessibility and inclusive communication.

Text to Speech (TTS) is a technology that converts written text into spoken voice output. Using web technologies like HTML, CSS, and JavaScript, you can create a simple and interactive TTS web app by leveraging the Web Speech API, which is built into most modern browsers.

JARVIS AI Assistant (Web Version) A sleek, browser-based AI assistant built with HTML, TailwindCSS, and JavaScript. It uses the Web Speech API for voice recognition, lets users open websites with simple commands, and integrates with the Google Gemini API for intelligent responses — all inside an interactive, modern UI.

JARVIS (Just A Rather Very Intelligent System) is a voice-controlled, browser-based virtual assistant built with HTML, CSS, and JavaScript. Leveraging the Web Speech API, it recognizes voice commands and responds using text-to-speech. JARVIS can perform tasks like web searches, telling the current time and date, and even opening popular websites.

Developed an AI-powered web application using HTML, CSS, and JavaScript with real-time voice command functionality and Natural Language Processing (NLP). Integrated Speech Synthesis API for dynamic feedback, enhancing user engagement. Optimized for cross-browser compatibility and responsive design.

A web app made for McHacks 7 designed to be an emotionally responsive talking companion for marginalized children. It uses the IBM Watson API to conduct content and emotional analysis on speech data in order to generate an appropirate response. samy can understand and relate to children, as well as offer them relevent ressources such as bullying prevention services. The app is composed of a CSS/HTML/JavaScript front end with a Python backend.

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Html, css and JavaScript project using web speech api.

A simple Text-to-Speech (TTS) web app built with HTML, CSS, and JavaScript using the Web Speech API

HTML, CSS and Pure JavaScript with ES6 using MyMemory and Web Speech APIs