Image Caption Generator

The intersection of computer vision and natural language processing has led to significant advancements in artificial intelligence. One such application is automatic image captioning, where a system generates descriptive sentences for images. This research focuses on a generative model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to generate accurate captions for images. Using the COCO 2017 dataset, the proposed CNN-LSTM architecture extracts visual features and translates them into coherent English descriptions. The model aims to assist visually impaired individuals through text-to-speech capabilities and has broader applications in fields such as surveillance, autonomous vehicles, and digital content management