#TEXTAPHONE Tending to the issues of people with vocal, visual and hearing troubles through a solitary helping framework is a difficult task. Numerous researches focus on tending to the issues of one of the above difficulties yet not all. Thanks to technology, this project focuses on achieving the best technique which can be easily available to all, that helps the visually impaired by letting them listen to what is represented as text which is achieved and converts it into audio. Using the speech to text conversion technique, on-screen text provides a better way for the people with Hearing impairment to visually read text converted by the visually impaired’s voice. The vocally impaired people can interact with normal people using our work which recognizes text and converts them into on-screen text as well as audio sounds. This single unique system is powered by any smartphone.

1.3 ( Style all pages, Complete Mobile GUI )

1.2 ( Creating a web app with Flask )

Watch video demo - https://youtu.be/tJj1wcGDKeM Src for chat app - https://github.com/nikhilkumarsingh/flask-chat-app

1.1 (Creating a multiclass Sentiment Analysis)

NLP Emoji Notebook Live Demo

1.0 (Chat App using Sockets and Binary Sentiment Analysis)

code - https://github.com/mraniketr/TextaPhone/releases/tag/1.0