• Mohammed Aariz Gouse Khan
• V. Abhishek
• Vaibhav Chopda
• Adarsh Bhagat
• Mrs. Pushpalata Verma

“Prediction of Brain Gliomas using Machine Learning algorithm” is an innovative project aimed at developing an online diagnostic prediction page that utilizes machine learning algorithms and medical data to diagnose various types of brain Tumor whether it’s an initial stage or at final stage. The system will be designed to assist medical practitioners in making accurate and timely diagnoses by analyzing patient data, such as medical history, symptoms, and test results. This project aims to improve healthcare outcomes by increasing the accuracy of diagnoses. The proposed system will be user-friendly, secure. Additionally, it will be scalable, making it suitable to used for the patients. The project has the potential to revolutionize the field of medical diagnosis and significantly improve patient outcomes. This can also be helpful for the patients to find out the disease related to Brain Tumor. Magnetic resonance imaging (MRI) is a very useful method for diagnosis of tumors in human brain. In this paper, brain MRI images have been analyzed into three different categories: Meningioma, glioma, & pituitary.

Machine Learning, Brain Tumor, CNN

"Prediction of Brain Tumor using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l320-l324, April-2023, Available :http://www.jetir.org/papers/JETIR2304B48.pdf

"Prediction of Brain Tumor using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl320-l324, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B48.pdf