AI Email Assistant Using Spring Boot, Spring AI, and Gemini

Author(s)	Mr. varun pritam singh
Country	India
Abstract	This paper presents an AI-driven email replier system developed using Spring Boot, Spring AI, and Gemini. The system automates email responses to enhance efficiency and personalization,addressing the challenges of time-consuming and inconsistent manual email handling. By integrating advanced Natural Language Processing (NLP) models with a robustmicroservices-based backend, the project achieves significant improvements in response time andaccuracy. Testing demonstrates a 70% reduction in response time and a 28% increase in accuracy compared to manual methods. These findings highlight the potential of AI-driven automation inimproving email communication.
Keywords	Springboot, AI , Email
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-30
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.43554
Short DOI	https://doi.org/g9g764

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International Journal For Multidisciplinary Research