SlumberScan is an AI-powered application designed to assist in analyzing sleep disorders using Polysomnography (PSG) and EDF files. The project enables doctors to upload patient data, visualize EEG signals, and manage patient profiles with a user-friendly interface. The motivation behind this project is to address the increasing prevalence of sleep-related health issues with a data-driven approach.

Key Features:

Secure Doctor Login System: Ensures authentication and access control for medical professionals.

Patient Management Portal: Allows doctors to add, edit, and manage patient profiles.

EDF File Upload & EEG Visualization: Enables easy upload of PSG EDF files and interactive EEG signal analysis.

AI-Powered Chatbot: Provides instant responses to sleep-related queries using OpenAI’s API.

PDF Report Generation: Allows exporting patient details and analysis into a report for documentation.