Brain Tumor Detection Details 

Detects whether a person has brain tumor from brain MRI scans

Project Description 

This project focuses on detecting brain tumors from MRI images using deep learning techniques. A Convolutional Neural Network (CNN) model is trained to analyze MRI scans and classify them as tumor or non-tumor (or different tumor types, if applicable). The trained model is integrated into a web application built with Flask, allowing users to upload MRI images and receive instant prediction results. The project demonstrates the practical use of deep learning in medical image analysis and healthcare applications. 

Features 

• Brain tumor detection using CNN-based deep learning model

• MRI image upload and real-time prediction

• Accurate image classification using trained neural networks

• Visualization of training results and performance metrics

• User-friendly web interface for easy interaction

• Backend integration using Flask

• Clean, modular, and well-documented codebase

• Suitable for academic and final-year projects

Tech Stack

• Python

• TensorFlow (Deep Learning)

• Convolutional Neural Networks (CNN)

• Flask (Backend Framework)

• HTML, CSS, JavaScript (Frontend)

• NumPy and other supporting Python libraries

System Requirements

• Python 3.10+

• Anaconda

• No GPU is required

Deliverables 

• Jupyter Notebook

• Dataset

• Setup over video call 

• WhatsApp support