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Voice-Based Learning Assistant for Visually Impaired

Objective:

To build an accessible e-learning assistant that enables visually impaired students to navigate course materials, listen to lectures, ask questions, and receive assistance using voice commands and text-to-speech (TTS) and speech-to-text (STT) technologies.

Key Features:

User Panel (Visually Impaired Student):

  • Voice-based login and authentication

  • Navigate menu and courses using voice

  • Listen to course content: PDFs, text, video subtitles

  • Ask queries via voice and receive audio replies

  • Bookmark sections or request repetition

  • Offline mode to access downloaded lessons

Instructor Panel:

  • Upload and structure audio-friendly course materials

  • Add voice-over or subtitle support for videos

  • Respond to queries submitted by visually impaired users

  • Convert answers into voice responses

Admin Panel:

  • Manage users, content, roles

  • Monitor usage analytics

  • Moderate voice interactions and content uploads

Tech Stack:

Layer Technology/Tool
Frontend Voice-Enabled UI using HTML5 Web Speech API / React with ARIA Support
Backend Node.js + Express / Django / Flask
Database MongoDB / MySQL / Firebase Realtime DB
Speech-to-Text (STT) Google Speech-to-Text / IBM Watson / Azure Speech
Text-to-Speech (TTS) Google Text-to-Speech / Amazon Polly / eSpeak
Authentication OAuth / Voice Authentication (Optional)
Mobile Support React Native / Flutter with Voice Assistant SDK
Hosting Firebase / AWS / GCP

Workflow (Step-by-Step):

1. Voice-Activated Login

  • User opens the app and is prompted to speak a passphrase

  • Backend validates credentials or uses voice biometrics (optional)

  • On success, audio message confirms login

2. Course Navigation by Voice

  • Assistant asks: “Which subject would you like to learn today?”

  • User responds, and system fetches matching course content

  • Commands like “Next topic”, “Repeat that”, “Exit course” are understood and executed

3. Audio-Based Learning

  • System reads aloud textual content using TTS

  • For videos, transcripts or audio summaries are played

  • Background playback continues while phone screen is off (for mobile app)

4. Doubt Submission via Voice

  • User says, “I have a doubt” → records voice

  • Voice is converted to text via STT

  • Instructor receives question as text/audio

  • Instructor replies, which is converted to TTS and delivered as audio

5. Offline Mode

  • Users can download course sections in advance

  • Stored locally for later playback without internet

6. Instructor Response Handling

  • Instructor receives STT text of question

  • Can reply via voice or type the answer

  • System sends reply as audio message

7. Admin Monitoring

  • Admin panel logs voice sessions

  • Checks for system performance and errors

  • Tracks most-used courses and commands

Accessibility & Compliance:

  • WCAG 2.1 AA compliance

  • Keyboard-independent navigation

  • High-contrast audio feedback tones

  • Compatible with screen readers

Optional Advanced Features:

  • AI-based voice summarization for long PDFs

  • Multilingual voice assistant support

  • Personalized learning path recommendations via voice

  • Voice-based quizzes with instant feedback

  • Smart dictionary integration (define terms on request)

Outcome:

This project empowers visually impaired learners by making education fully accessible through voice interaction. It creates an inclusive, independent learning environment with intelligent audio assistance.

This Course Fee:

₹ 2299 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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