Image Caption Generator
Navyasri Gangapuram, Hemanth Mittapally, G.Kadirvelu
In the era of digital imagery and social media, the demand for engaging image captions has grown exponentially. This research project explores the fusion of artificial intelligence and natural language processing techniques to automatically generate captivating and contextually relevant captions for images. We present a novel approach that leverages deep learning models and large-scale image-text datasets to train a caption generation system. Our methodology involves pre-training a neural network on a diverse corpus of text data and fine-tuning it on a curated dataset of images and corresponding captions. We evaluate the system's performance using both quantitative metrics, such as BLEU and METEOR, and qualitative assessments by human judges. The results demonstrate the effectiveness of our approach in generating captions that not only accurately describe the content of the images but also engage and resonate with human audiences. We discuss the implications of this research for content creators, marketers, and social media platforms, highlighting the potential for enhancing user experiences and automating caption generation at scale. This work represents a significant step towards harnessing AI-driven creativity in the realm of visual content and text generation, with promising applications in social media marketing, content recommendation systems, and accessibility for visually impaired user
Article Details
Unique Paper ID: 162529

Publication Volume & Issue: Volume 10, Issue 10

Page(s): 410 - 413
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews