Project : Async-Await || Real time visual narrator + Multilanguage Tutor

Vishal Pandey — Mon, 01 Sep 2025 07:22:49 +0000

Here you can see our visual-narrator, so you can cleary see a cool toggle button also so yessss it will work with your** rear camera** and also on the right side there is a box where you will get written narration and you will hear voice also in real time

Here in the second image you can see cleary language tutor will teach you how to speak with fluency and you have multiple voice selection + language selection option also

Here is the github repo you can check :- Async-Await

This project is also part of murf ai coding challenge 4 #murfai #murfcc4
Tools we have used to make it work

- Gemini - response
- google cloud speech to text - for transcription
- murf ai - for real time audio streaming also murf ai gives you ~120+voices in ~28+languages

Listenify – Convert Complex Text into Clean, Audio-Based Learning

Vishal Pandey — Sun, 29 Jun 2025 14:40:47 +0000

This is a submission for the Murf AI Coding Challenge 2)

🚀 What I Built

Listenify is an AI-powered audio companion that converts written content into high-quality, natural-sounding audio. It’s designed for users who prefer listening over reading, enabling content consumption on the go. From URLs to custom prompts, PDFs, and interactive AI conversations — Listenify transforms everything into speech.

It solves the problem of accessibility and convenience for learners, professionals, and casual users who want to save time and boost productivity through audio experiences.

🎥 Demo

Here is the video demo in action

🔗 Code Repository:
GitHub Repo – Listenify

🔧 How I Used Murf API

Murf API powers the core audio generation across all Listenify features, enabling natural, expressive voiceovers.

Here’s how I integrated it into each module:

URL to Audio: Parsed article → Gemini simplification → Murf for spoken output
Text to Audio: User writes prompt → Gemini response → Murf generates audio Text Prompt to AI Response + Audio: User writes a custom prompt, selects a language (e.g., Hindi, English, etc.), and gets a Gemini-generated response in that language — which is then sent to Murf to produce localized audio and if they want audio in different language they can do it
PDF to Audio: Uploaded document → Extracted readable text → Murf voiceover
Talk to AI: Real-time user queries → Gemini responds → Murf instantly converts replies to voice

✅ This last feature offers a hands-free, AI voice assistant experience — made possible through Murf's responsive and realistic audio generation.

🌍 Use Case & Impact

Who can benefit?

Students can learn interactively by talking to the AI and listening to explanations in real time
Visually impaired users or those with learning differences can use voice-first AI for hands-free interaction
Busy professionals can ask questions on the go and get verbal answers — like an AI podcast
Language learners can practice conversations with AI and hear responses in various accents and languages

How it improves existing experiences:

✅ Voice-First AI Access: Unlike typical AI tools that are text-based, Listenify allows users to speak to the AI and get spoken replies, which feels more human and intuitive
✅ Multilingual Support: Users can choose their preferred response languager but for now it only supports english and hindi and voice of male and female , helping break language barriers
✅ Accessibility-Friendly: Makes AI conversational tools usable for those who can't or don’t want to type
✅ Engaging Learning: Turns boring text-based Q&A into an interactive, auditory learning experience

This is a solo submission by: @vishal_pandey_cc36c279e7a

DEV Community: Vishal Pandey