The problem NeuroGenAI solves

Neurological conditions like strokes, tumors and alzheimers require fast and accurate diagnoses. However, the current process is manual, time-consuming, and prone to human error, especially in understaffed hospitals. This leads to long wait times, misdiagnoses, and delayed treatments, putting patients at risk.

Our solution, NeuroGenAI, automates this process by integrating patient history, symptoms, and MRI scans to deliver precise diagnoses and personalized treatment plans, reducing errors and improving outcomes.

Challenges we ran into

1. CNN model wasn't working proeprly since we used transfer learning which created a lot of compatibility errors
2. Many deployment issues (still resolving them)
3. Endpoint integration challenges