Brain Tumor Detection and AI Assistant

The early diagnosis of brain tumors is essential for improving patient outcomes and survival rates.However, traditional diagnosis via manual MRI scan analysis is time-consuming, dependent on expert radiologists, and vulnerable to human error.This project proposes a dual-function system that integrates a deep learningbased brain tumor detection model with a medical chatbot using Google's Gemini API.The platform allows users to upload MRI brain scans, which are processed by a Convolutional Neural Network (CNN) to detect tumor presence.In parallel, the integrated chatbot provides intelligent responses to health-related queries, enhancing user engagement and accessibility.Designed with usability and security in mind, the system runs as a web application and can serve as a valuable tool in both clinical and remote environments.It supports real-time analysis and AI-powered guidance, presenting a comprehensive solution for modern healthcare needs.

Authors

Publication Details

Journal
International Journal of Research Publication and Reviews
Published
2025-05-01
DOI
https://doi.org/10.55248/gengpi.6.0525.1858
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Brain Tumor Detection and AI Assistant

Srimathi Chandrasekaran, Mrs. T. A. Benazir, S. Pradeesh, M Sathaiah et al.
International Journal of Research Publication and Reviews
Brain Tumor Detection and Classification
article

Brain Tumor Detection and AI Assistant

Srimathi Chandrasekaran, Mrs. T. A. Benazir, S. Pradeesh, M Sathaiah, U Thilagavathi
article en

Abstract

The early diagnosis of brain tumors is essential for improving patient outcomes and survival rates.However, traditional diagnosis via manual MRI scan analysis is time-consuming, dependent on expert radiologists, and vulnerable to human error.This project proposes a dual-function system that integrates a deep learningbased brain tumor detection model with a medical chatbot using Google's Gemini API.The platform allows users to upload MRI brain scans, which are processed by a Convolutional Neural Network (CNN) to detect tumor presence.In parallel, the integrated chatbot provides intelligent responses to health-related queries, enhancing user engagement and accessibility.Designed with usability and security in mind, the system runs as a web application and can serve as a valuable tool in both clinical and remote environments.It supports real-time analysis and AI-powered guidance, presenting a comprehensive solution for modern healthcare needs.

International Journal of Research Publication and ReviewsVol. 6(5)
Openalex Percentile: Top 84%
Brain Tumor Detection and Classification
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