https://github.com/german-zarate/image-captioning-app

Deployed image captioning ML model using Flask and access via Flutter app
https://github.com/german-zarate/image-captioning-app

flask flask-backend flutter image-caption-generator image-captioning python-backend

Last synced: 4 days ago
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Deployed image captioning ML model using Flask and access via Flutter app

• Host: GitHub
• URL: https://github.com/german-zarate/image-captioning-app
• Owner: german-zarate
• Created: 2024-05-14T18:00:22.000Z (9 months ago)
• Default Branch: master
• Last Pushed: 2024-05-14T18:00:59.000Z (9 months ago)
• Last Synced: 2024-12-05T15:12:05.595Z (2 months ago)
• Topics: flask, flask-backend, flutter, image-caption-generator, image-captioning, python-backend
• Language: Python
• Homepage:
• Size: 7.54 MB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Image Captioning app 📷

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`Build-A-Bit` `Concetto 19`

Team Name : The Unknowns

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## 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.

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## Requirements

**Python**

* Flask

* Keras

* NumPy

**Flutter**

* image_picker

* dio

* http

* flutter_tts

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## Workflow



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## Demo



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## References

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