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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 3, MARCH 2025

Voice Based Email for Visual impairment people Using AI

Mrs. Alekhya B, Suprathika R, Sravya Greeshma P, Sri Lakshmi Harini Ch, Aparna S

DOI: 10.17148/IJARCCE.2025.14355

Abstract: E-mail is a widely used method of communication, serving both professional and social purposes. However, for blind users, traditional email applications present significant challenges, particularly since they must rely on memory to navigate through the keyboard or keypad. The proposed system aims to address this issue by offering a voice-driven email platform, enabling blind users to send, receive, and view emails without needing to memorize a keyboard layout. This voice-based system provides access to various email folders, such as the inbox, sent items, and trash, all through spoken commands. The integration of a speech recognition model helps in recognizing both the language and voice of the user. By transcribing spoken words into written text accurately, the system allows users to interact with their email accounts hands-free. The process of converting speech to text is known as "speech-to-text" or "automatic speech recognition" (ASR). Additionally, Google Text-to-Speech (GTTS) technology is employed to convert the input text into audible speech. Two important protocols, SMTP and IMAP, are used in email communication: SMTP handles the sending of emails, while IMAP is responsible for retrieving and managing messages. The outcome of this work is the development of the “Blind-Friendly Email System” prototype.

Keywords: google text to speech (GTTS), Speech recognition, speech to text (STT), Conversational Email Assistant, Voice-Controlled Inbox Navigation

How to Cite:

[1] Mrs. Alekhya B, Suprathika R, Sravya Greeshma P, Sri Lakshmi Harini Ch, Aparna S, “Voice Based Email for Visual impairment people Using AI,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14355