CereBroScan

🧠 Project Description: CereBroScan

CereBroScan is an AI-powered brain tumor detection system developed with the goal of bridging the healthcare gap in rural areas. Leveraging deep learning techniques such as U-Net and CNN architectures, our system enables doctors—even those with limited specialization—to accurately detect and segment brain tumors from MRI scans with minimal effort.

The platform is tailored for real-world rural conditions, designed to operate even in low-resource settings using affordable computing devices like the Raspberry Pi. CereBroScan helps eliminate the dependency on high-end machines and expert radiologists by providing a portable, offline diagnostic solution.

By empowering local healthcare workers and general practitioners with automated analysis, CereBroScan significantly reduces the time, cost, and uncertainty in the diagnostic process. It allows for early detection, which is critical in improving treatment outcomes for brain tumor patients.

Key Features:

Upload MRI scans via USB, local storage, or camera input.

AI-based segmentation and tumor highlight in real-time.

Export and store results for further diagnosis and treatment.

Designed with a user-friendly interface for accessibility.

Scalable and deployable for long-term rural medical use.

Future enhancements include real-time MRI video processing, telemedicine feedback integration, multilingual support, and expansion to detect other neurological conditions such as hemorrhages.

CereBroScan—enabling accessible and early diagnosis, anywhere.