Predicting Tumor using MRI Scans

Efficient and early tumor detection is crucial in medical diagnosis, allowing for timely intervention and better patient management. This paper introduces a machine learning system that examines MRI scans to detect the occurrence of a tumor. The system has a Flaskbased machine learning API in Python, which uses deep learning models trained on MRI scan data. The backend, coded using Node.js and Express, handles authentication, data management, and communication between the AI model and the user interface. The frontend, coded using React, provides an easy-to-use platform where users can upload MRI images and get instant diagnostic results. Valuing accuracy, security, and user accessibility, the platform improves the tumor detection process and offers a scalable and efficient solution for MRI-based medical imaging analysis. Thorough testing guarantees its reliability, thus making it an important healthcare diagnosis asset.