Saurabh Dingwani

Computer science

Hometown: Gwalior, Madhya Pradesh, India

Graduation date: Fall 2025

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FURI | Spring 2025

Integrating Real-Time Cloud APIs with Large Language Models for Customized Business Solutions

Large Language Models (LLMs), like ChatGPT and Gemini, currently rely on static datasets, limiting their effectiveness for businesses requiring real-time data integration. This limitation hinders accurate decision-making in dynamic environments. To address this, the research team developed a scalable software prototype that integrates LLMs with cloud-based Application Programming Interfaces (APIs) like OpenWeather, Alpha Vantage Stock API and News API, enabling dynamic retrieval of current data. Experimental validation demonstrated significant improvements in response accuracy, speed, and adaptability. These results underscore the solution’s potential to provide organizations with customized AI tools capable of promptly incorporating evolving information, thus increasing operational effectiveness and trust in AI applications.

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