Haptic Summarizer for Visually Impaired Using Rasberry PI

The project endeavours to ameliorate the constraints inherent in conventional reading modalities for visually impaired individuals through the development of a self-contained reading apparatus. This device is designed to facilitate access to printed textual material while augmenting its capabilities with image captioning functionality, thus extending its applicability beyond mere textual content. To achieve this objective, the project will leverage sophisticated deep learning methodologies, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and ResNet architectures, for image analysis and caption generation tasks.