AUTOMATED IMAGE CAPTIONING GENERATOR USING DEEP LEARNING

Abstract

The increasing volume of visual data shared online highlights the need for systems that can understand and describe images automatically. This project presents an automated image captioning generator based on deep learning techniques. The model combines Convolutional Neural Networks (CNNs) for extracting image features with Long Short-Term Memory (LSTM) networks for generating descriptive captions. Trained on a dataset of images paired with human-written captions, the system learns to produce contextually relevant and grammatically correct descriptions. This approach has broad applications in accessibility, digital content management, and image retrieval, bridging the gap between visual understanding and natural language.