International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 7.839

AI-Driven Personalized Cancer Treatment App using React.js, Vite, and Gemini AI

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AI-Driven Personalized Cancer Treatment App using React.js, Vite, and Gemini AI

Authors:

Naveen Yadav, Lakshay Yadav, Mayank Yadav

DRONACHARYA COLLEGE OF ENGINEERING

Abstract

This paper presents the design and implementation of a web-based, AI-driven personalized cancer treatment platform leveraging React.js, Vite, and Gemini AI models. We address the pressing need for individualized oncology care by facilitating rapid, secure, and dynamic recommendations based on patient-specific data. The proposed architecture integrates state-of-the-art generative AI for clinical decision support, delivers a fast and robust frontend with modern web technologies, and ensures user data privacy and compliance. We discuss system design, core AI workflow, frontend engineering, integration challenges, and preliminary evaluation results, demonstrating the effectiveness and promise of such technology in aiding clinicians and patients.


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