Brain Tumor Detection

Abstract: This paper presents a brain tumor detection system designed to assist early diagnosis using a multi-model machine learning approach. The system integrates MRI image analysis using Convolutional Neural Network (CNN) and symptom-based prediction using Random Forest. It combines both medical imaging and clinical data to improve accuracy and reliability. The system is implemented as a web-based application that allows users to upload MRI images or enter symptoms for preliminary screening. It targets healthcare support by providing fast, accessible, and effective tumor detection.

Keywords: Brain Tumor Detection, Machine Learning, Deep Learning, Convolutional Neural Network, Random Forest, MRI, Medical Image Analysis, Web Application.