click here to download project abstract /base paper
ABSTRACT
Embark on an exciting journey at the crossroads of computer vision and natural language processing with our innovative project, “Image Captioning Generator Using CNN and LSTM.” This abstract extends an invitation to students eager to explore the fusion of visual perception and language generation, unraveling the intricacies of creating meaningful captions for images through advanced deep learning techniques.
In this project, we navigate the realms of Convolutional Neural Networks (CNNs) for image feature extraction and Long Short-Term Memory (LSTM) networks for sequential language generation. Students will be introduced to the fundamental concepts of image analysis, feature encoding, and the synergy between computer vision and natural language understanding, gaining a comprehensive understanding of the art of image captioning.
This abstract provides a glimpse into the core principles of our project, showcasing how the collaborative power of CNN and LSTM elevates the capability to generate contextually relevant and descriptive captions for diverse images. Through hands-on exploration, students will gain valuable insights into the challenges and innovations inherent in the intersection of visual and linguistic intelligence, empowering them to contribute to the evolution of intelligent systems for image interpretation.
