NeuroCure is a cutting-edge project focused on the detection and classification of brain tumors, leveraging the power of deep learning for advanced medical image analysis. Developed using TensorFlow and a variety of custom models, this initiative aims to deliver accurate and efficient identification of brain tumors from MRI scans.

Proficient in developing Python projects using Anaconda, with expertise in handling datasets for various applications. Skilled in data analysis, machine learning, and deep learning using Python libraries like NumPy, Pandas, and TensorFlow.

This project utilizes deep learning models such as Inception V3, GoogLeNet, and VGG-19, combined with decision-level fusion and advanced image processing techniques like CLAHE and Otsu Thresholding, to achieve high accuracy in brain tumor detection and classification.