VitaAssist – Medical Enquiry System and Data Analysis

Abstract - VitaAssist is an innovative mobile healthcare application designed to provide users with accurate, AI-powered medical support. The application is built using React Native and integrates a medical chatbot powered by the Gemini large language model (LLM) to address medical queries. Additionally, VitaAssist incorporates a predictive model based on Convolutional Neural Networks (CNN) and Transfer Learning to diagnose lung cancer from CT scans. The app further enhances personalized healthcare by enabling Electronic Health Record (EHR) analysis, providing users with comprehensive health insights and tailored medical recommendations. This paper presents the design, implementation, and evaluation of VitaAssist, demonstrating its potential to improve early diagnosis, patient support, and overall healthcare outcomes. Key Words: Electronic Health Record, Chatbot, Convolution Neural Network

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-17
DOI
https://doi.org/10.55041/ijsrem48181
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

VitaAssist – Medical Enquiry System and Data Analysis

Jagadeesh Pujari
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Intelligent Tutoring Systems and Adaptive Learning
article

VitaAssist – Medical Enquiry System and Data Analysis

Jagadeesh Pujari
article en

Abstract

Abstract - VitaAssist is an innovative mobile healthcare application designed to provide users with accurate, AI-powered medical support. The application is built using React Native and integrates a medical chatbot powered by the Gemini large language model (LLM) to address medical queries. Additionally, VitaAssist incorporates a predictive model based on Convolutional Neural Networks (CNN) and Transfer Learning to diagnose lung cancer from CT scans. The app further enhances personalized healthcare by enabling Electronic Health Record (EHR) analysis, providing users with comprehensive health insights and tailored medical recommendations. This paper presents the design, implementation, and evaluation of VitaAssist, demonstrating its potential to improve early diagnosis, patient support, and overall healthcare outcomes. Key Words: Electronic Health Record, Chatbot, Convolution Neural Network

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 95%
Intelligent Tutoring Systems and Adaptive Learning
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