Published Paper Details:

In order to automatically create evocative descriptions for photos, the Image Caption Generator Project introduces a novel blend of computer vision and natural language processing approaches. Convolutional Neural Networks (CNNs) are used by the system to process raw photos while utilizing cutting edge deep learning models to recognize complicated patterns and objects. This visual comprehension is seamlessly combined with cutting-edge Natural Language Processing (NLP) algorithms, using attention processes and Sequence-to-Sequence models to produce captions that are both linguistically and contextually coherent. The project places a strong emphasis on the user experience by giving users a simple interface via which they can upload photographs and instantly receive pertinent captions. The reliability and correctness of generated captions are guaranteed by stringent evaluation measures like BLEU and METEOR. The system must be trained on a variety of datasets to ensure ethical considerations, minimize biases, and promote inclusive outcomes. Potential applications of the project include search engine content metadata enrichment, accessibility tools for the blind, and boosting user engagement on social media platforms.