DEEP GENERATIVE MODEL DESIGN WITH GOOGLE AND OPENAI APIs FOR OPTIMIZING SCIENTIFIC RESEARCH
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Abstract
This study focuses on optimizing scientific research by integrating artificial intelligence (AI) and deep generative models, using Google and OpenAI APIs. The aim is to develop a web based system capable of generating research content and providing accurate educational recommendations, thus improving the efficiency of academic production. The designed system is based on AI architecture and deep generative models, using APIs such as Google’s Gemini and OpenAI, to process research data and provide accurate responses to users. The implementation of this system seeks to facilitate access to advanced analysis tools, encourage proactive communication, and improve learning outcomes and research in higher education. Preliminary results demonstrate that the proposed tool is effective in optimizing scientific research, providing useful recommendations and accelerating the process of analyzing and generating academic content.
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