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  • Gen-AI
  • Deep Learning
  • NLP

NeuroGen UI – Sketch & Voice-to-Web-App Generator

A generative tool that turns hand-drawn sketches and voice instructions into working web applications.

Overview

Computer vision identifies UI elements from hand-drawn layouts while speech recognition captures spoken functionality descriptions. Generative AI then produces responsive HTML, CSS and JavaScript, with a real-time preview that users refine by speaking or updating the sketch.

Problem Statement

The gap between a whiteboard sketch and a working prototype costs hours of translation work, and it locks non-developers out of prototyping their own ideas entirely.

Proposed Solution

Treat the sketch as the layout specification and the voice instruction as the behaviour specification, then generate working code from both and let the user iterate in the same two modalities.

Key Features

  • Computer Vision Sketch Detection

    Identifies UI elements from hand-drawn layouts.

  • Speech Recognition

    Understands spoken functionality descriptions.

  • Gen-AI Code Generation

    Produces responsive HTML, CSS, and JavaScript.

  • Real-Time Preview & Iteration

    Users refine the app via voice or updated sketches.

Technologies Used

Computer Vision

  • YOLO / CNN
  • OpenCV
  • Shape detection

Gen-AI

  • LLM code generation
  • Prompt engineering
  • LangChain

Speech

  • Speech-to-text
  • Web Speech API

Application

  • React
  • FastAPI
  • Live preview sandbox

Project Workflow

  1. 1

    Sketch upload

    A hand-drawn layout is photographed or scanned.

  2. 2

    Element detection

    Computer vision identifies UI components.

  3. 3

    Voice specification

    Spoken instructions describe behaviour.

  4. 4

    Code generation

    Generative AI produces HTML, CSS and JavaScript.

  5. 5

    Preview & refine

    The user iterates by voice or new sketches.

What You'll Receive

  • Complete, runnable source code with folder structure
  • Project report and technical documentation
  • Ready-to-present PPT content
  • Setup and installation walkthrough
  • Line-by-line project explanation session
  • Viva question bank with answers
  • Bug fixing and troubleshooting help
  • Post-delivery support after submission

Frequently Asked Questions

How much does this project cost?

Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.

Can the project be customised to my college requirements?

Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.

Will I be able to explain this project during my viva?

That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.

What if the project does not run on my laptop?

We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.

Do I get support after submission?

Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.

Want This Project?

Get complete source code, documentation, PPT, explanation, and support.

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