https://github.com/neelanjan00/blind-vision

Assisting blind people with the help of image-captioning via a smartphone app. The application makes use of two neural networks, a CNN-based image feature extractor, and an LSTM based sentence generator. The user is able to submit images to the app, which are fed to the CNN feature extractor. The extracted features are then fed to the LSTM network to generate the sentence that describes the image, which is then read aloud to the user.
https://github.com/neelanjan00/blind-vision

cnn flask keras lstm ml opencv tensorflow

Last synced: 2 months ago
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Assisting blind people with the help of image-captioning via a smartphone app. The application makes use of two neural networks, a CNN-based image feature extractor, and an LSTM based sentence generator. The user is able to submit images to the app, which are fed to the CNN feature extractor. The extracted features are then fed to the LSTM network to generate the sentence that describes the image, which is then read aloud to the user.

• Host: GitHub
• URL: https://github.com/neelanjan00/blind-vision
• Owner: neelanjan00
• Created: 2020-05-13T14:55:51.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T09:52:09.000Z (over 3 years ago)
• Last Synced: 2025-04-04T17:29:59.381Z (about 1 year ago)
• Topics: cnn, flask, keras, lstm, ml, opencv, tensorflow
• Language: HTML
• Homepage: https://visionaiapp.herokuapp.com/
• Size: 83.7 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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README

          
![Blind Vision AI](https://firebasestorage.googleapis.com/v0/b/neelanjan-manna.appspot.com/o/project-images%2FVision%20AI.png?alt=media&token=344b0ec9-a229-4983-ad7f-c69e55e67479)

Welcome to Vision: Blind AI Assistance 👋



  

  

    

  



> Assisting blind people with the help of image-captioning via a smartphone app. The application makes use of two neural networks, a CNN based image feature extractor and an LSTM based sentence generator. The user is able to submit images to the app, which are fed to the CNN feature extractor. The extracted features are then fed to the LSTM network to generate the sentence that describes the image, which is then read aloud to the user.

### 🏠 [Homepage](https://visionaiapp.herokuapp.com/)

### ✨ [Demo](https://visionaiapp.herokuapp.com/)

## Install

```sh

pip install -r requirements.txt

```

## Usage

```sh

python app.py

```

## Author

👤 **Neelanjan Manna**

* Website: https://neelanjanmanna.ml/

* Twitter: [@NeelanjanManna](https://twitter.com/NeelanjanManna)

* Github: [@neelanjan00](https://github.com/neelanjan00)

* LinkedIn: [@neelanjan00](https://linkedin.com/in/neelanjan00)

## Show your support

Give a ⭐️ if this project helped you!