IMAGE CAPTION GENERATOR USING DEEP LEARNING

Image caption generation is a significant advancement in Artificial Intelligence, enabling computersto describe images with human-like understanding. This technology has valuable applications inmedical imaging, education, and e-learning. The primary goal is to generate accurate Englishcaptions for images, which remains a critical challenge.This project introduces an image captiongenerator that utilizes beam search and greedy search optimization techniques to produce captions. Itincorporates a pre-trained Convolutional Neural Network (CNN), specifically the VGG16 model, toextract image features. Additionally, Long Short-Term Memory (LSTM) is used to interpret textfeatures, combining both to generate meaningful captions.The model's capabilities extend to video captioning by integrating Convolution 3D (C3D).Continuous research, ethical considerations, and responsible data usage are essential to furtherenhance accuracy and minimize potential drawbacks. This technology has the potential tosignificantly impact various fields, making AI-driven image interpretation more efficient andaccessible.