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A NN that generates captions word by word using an ensemble model composed of a VGG16, and 2 trained LSTMs.
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Helping The Blind See

This project is aimed to deliver a prototype of an assistive technology tool using image captioning to help the blind understand the visual environment around them. This is done using an encoder-decoder neural network that builds captions word by word from a given image and associated caption.

Take a peek into the notebook within the repo. It contains alllll the details for creating, training and testing the model.

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