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Cover image for EduVoice – An AI-Powered Learning Tool Using Murf AI
Om Gholap
Om Gholap

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EduVoice – An AI-Powered Learning Tool Using Murf AI

What I Built

EduVoice is an AI-powered educational web app designed for children to learn through interactive storytelling and voice-based MCQ practice. The app narrates captivating stories using the Murf AI voice API, then asks the child comprehension-based questions. The child answers via voice, and the system evaluates the response in real time using speech-to-text and AI analysis.

Demo

Watch the full demo of EduVoice in action
Video Link: https://youtu.be/3hdkTjd8bGI?si=3uLTm1zApd55dnwE

Code Repository:
Code Repo Link: https://github.com/omgholap11/Murf-AI

How I Used Murf API

We integrated the Murf API to deliver realistic, engaging voiceovers for children, making stories more immersive and educational. Here’s how it powers EduVoice:

  1. When a user selects a story, its content is sent to Murf API to generate natural-sounding, child-friendly narration.
  2. The returned voice output is played using a custom audio player, providing a rich storytelling experience.
  3. We explored different Murf voices and tones to ensure clarity, warmth, and maximum engagement for young listeners.
  4. In addition, user is also able to practice MCQs (Multiple Choice Questions) to assess comprehension and reinforce key ideas. The audio narration helps users better understand the content before attempting the questions.

Use Case & Impact

EduVoice is designed for:

  1. Schools and e-learning platforms to integrate voice-based comprehension practice.
  2. Parents who want to encourage independent learning in children.
  3. Children with reading difficulties or special needs who benefit from auditory learning.

By combining storytelling, voice recognition, and AI evaluation, EduVoice fosters:

  1. Better listening comprehension
  2. Improved speaking confidence
  3. Enhanced attention and memory retention

Team Submission:
This project, EduVoice, was designed and developed entirely by me — Om Gholap — as a solo submission. From ideation, frontend/backend development, to integration with Murf API and crafting the storytelling + MCQ logic, every part of the project was built with passion and attention to detail.

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