Paper Key : IRJ************690
Author: Aryan Tanwar,Shubham Tyagi,Aditya Raj,Dipesh Paliwal
Date Published: 13 Nov 2024
Abstract
BRAINORMER is a platform designed to revolutionize the healthcare industry by providing accurate brain tumor detection and educational resources for medical students and professionals. The project uses YOLOv8 models for MRI-based brain tumor detection, optimizing accuracy by experimenting with different model sizessmall, medium, and large. Additionally, BRAINORMER integrates an IBM Watson chatbot and features like the Google Gemini API, which auto-generates detailed information about the detected tumor type, offering users essential medical insights and answering common queries. Our platform serves a dual purpose: acting both as a diagnostic tool for early tumor detection and as an educational resource for those interested in AI applications in healthcare. Our platform offers a user-friendly interface powered by technologies such as HTML, CSS, and JavaScript. Users can interact with the AI models hosted on the Streamlit platform, where they can upload MRI scans to identify the type of brain tumor and gain valuable insights using different tools available on the platform. Brainormer has a vision of bridging the gap between technical and non-technical users, demonstrating the potential of AI in medical science.
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