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
- Srimathi Chandrasekaran
- Mrs. T. A. Benazir
- S. Pradeesh
- M Sathaiah
- U Thilagavathi
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