• Gunanka N K
• Jessica Ravi
• Ankitha
• Dr.Rajesh K .S

Developing a sophisticated voice-driven web application specifically designed to enhance email accessibility for visually impaired users. Built using the Flask web framework, the application leverages a variety of advanced technologies to facilitate seamless email management through speech commands. The system employs Google Text-to-Speech (gTTS) and Google Web Speech APIs to convert text to speech and vice versa, ensuring users can interact with their emails vocally. The 'sound device' library handles audio recording, while the 'speech recognition' library processes these recordings. This enables users to perform essential email tasks such as reading, composing, and managing emails using natural language commands. For added security, the application incorporates face recognition technology using OpenCV and custom modules for user sign-up and sign-in. This ensures that only authorized users can access their email accounts, protecting sensitive information. User data is securely stored in CSV files managed by the 'csv' library. The email management functionalities utilize the 'smtplib' library for sending emails via SMTP and the 'imaplib' and 'email' libraries for retrieving emails from Gmail accounts using IMAP. This integration allows for efficient handling of email communications within the application. Additionally, the application supports composing emails in local languages such as Kannada, catering to diverse linguistic needs and ensuring inclusivity for users who prefer to communicate in their native language. The user interface is designed to provide a seamless experience, with the system prompting and confirming voice commands to ensure accuracy in tasks such as email organization and retrieval. Audio feedback enhances user interaction, making the application more intuitive and user-friendly. This project not only aims to make email usage more accessible for visually impaired individuals but also enhances security and convenience. The inclusion of Face recognition technology further ensures secure access to email content. Overall, the project demonstrates the potential of integrating multiple Python libraries and services to create an interactive and user-friendly platform. By combining speech recognition, text-to-speech conversion, face recognition, and email handling into a cohesive web application, it significantly contributes to improving digital inclusion and promoting equal access to information and communication technology for all users, including those with varying degrees of visual impairment, those in low-light environments, and individuals seeking a more convenient email interaction method.

Speech Recognition, Speech-to-text, Text-to-speech Converter, Visually Impaired People, Email Integration, NLP

"Audio Enabled Email for Visually Challenged", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.n728-n735, May-2024, Available :http://www.jetir.org/papers/JETIR2405D95.pdf

"Audio Enabled Email for Visually Challenged", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppn728-n735, May-2024, Available at : http://www.jetir.org/papers/JETIR2405D95.pdf