EXPLORING GENERATIVE AI APPROACHES FOR CRAFTING IMAGE CAPTIONS: A RESEARCH INQUIRY INTO ETHICAL, ENGAGING CONTENT GENERATION

Abstract

In the age of social media, the demand for high-quality content with engaging captions is paramount for audience en- gagement and community building. This research explores the transformative impact of Generative AI, exceeding initial expectations. The study focuses on CNN and RNN, specifically LSTM, for image detection and caption generation. The model’s central purpose is to detect objects in images, predict their relationships, and produce meaningful captions. The novelty lies in enhancing these generated captions through the utilization of an open-source API key, connecting to an ad- vanced Large Language Model (LLM) like Chat GPT-4. This method not only enhances engagement by generating captions that are relevant, informative, engaging and ensures the generation of ethical content by incorporating safeguards against bias, misinformation, and harm.

Keywords: Image captioning, Generative AI, CNN, LSTM, Neural Network, API Key