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๐Ÿ“ท Deployed image captioning ML model using Flask and access via Flutter app

Python 65.16% Objective-C 0.13% Kotlin 1.49% Dart 31.75% Swift 1.46%

image-captioning-app's Introduction

Image Captioning app ๐Ÿ“ท


Build-A-Bit Concetto 19

Team Name : The Unknowns


Problem Overview

Blindness makes life rather difficult for people who suffer from this health problem, but the use of technology can help in some day-to-day tasks. In this context, the present work focuses the development of a photo-to-speech application for the blind. Intelligent Eye, as the name suggests, is a technical remedy for the visually impaired so that they can navigate themselves with their own self without external assistance. Ideology behind this project is to strike an impact on the society so that visually backward beings can equalise their status. In this project, we combined both image and text processing to build a useful deep learning application.


Requirements

Python

  • Flask
  • Keras
  • NumPy

Flutter

  • image_picker
  • dio
  • http
  • flutter_tts

Workflow


Demo


References

https://github.com/SHARONZACHARIA/Deploy-ML-model

image-captioning-app's People

Contributors

heliosx7 avatar

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