marwa-assim/ResQ-AI-Emergency

ResQ AI: Emergency Triage and Response System ResQ AI is an emergency response platform designed to optimize emergency dispatch and triage. The system uses a machine learning model implemented in MindSpore to classify emergency severity and prioritize care. It bridges communication between patients, ambulance crews, volunteers, and hospital administrators in real-time. Key Features 1. AI Triage: A neural network trained on over 100,000 emergency room records from the MIMIC-IV-ED dataset. It automatically triages patients into priority levels (1 to 5) based on vital signs and symptoms. 2. AI First Aid Assistant: A conversational AI assistant that provides step-by-step, voice-guided first aid instructions based on the patient's condition. 3. Sign Language Recognition: A camera-based input system using MediaPipe to recognize ASL hand shapes, allowing deaf or mute patients to trigger emergency alerts. 4. Multilingual Translation: Instant UI translation into 15 languages, with matching voice-guided first aid instructions in the selected language. 5. Real-Time Routing: Direct road routing and turn-by-turn navigation for ambulance drivers and volunteers, powered by the Open Source Routing Machine (OSRM). 6. Local Mesh Networking: A peer-to-peer WebRTC communication network that allows emergency responders to coordinate local operations even if internet access is down. 7. Wearable Integration: An API that registers data from health sensors and smartwatches to automatically trigger dispatches when critical vitals or falls are detected. 8. Visually impaired people can enable the Voice Command mode where it will read all the text in the screen to guide them using voice. 9. Volunteer Networks system: Where AED trained and certified people will be registered to the system to help as first responders the people in need using the nearwst location using the GPS where they can accept the request and respond before the ambulance arrive. System Architecture The platform is built a …