Medical Emergency Handling Using AI
Sagar
Student of Presidency University
Bengaluru, India
sagarbiradar@gmail.com
Keerthana.MV
Student of Presidency University
Bengaluru, India
keerthana19890@gmail.com
Roopashree.A
Student of Presidency University
Bengaluru, India
Roopagowda1890@gmail.com
Dr. Shanmugarathinam
Assistant Professor of CSE
Presidency University Bengaluru
shanmugarathinam@presidencyuniversity.in
Abstract: An advanced Medical Emergency Handling application receives significant improvements through Artificial Intelligence (AI) integration alongside coupling it with contemporary geolocation technology. Emergency support capabilities which included near-hospital finding and first aid instruction and helpline access have evolved into more user-friendly and intelligent and faster functions. The main improvement of this system comes from implementing an AI-based chatbot using Natural Language Processing (NLP) to respond to user demands in real-time with contextualized information. The chatbot system provides emergency operational guidance and adaptable support and makes rapid decisions possible in critical emergency situations. Users now have access to ambulances on the map through a Google Maps API integration along with the ability to start emergency calls directly inside the app. Additionally the application includes a WebView of Flipkart Health+ to offer users single-ecosystem access to health products. The application user interface now features a redesigned interface based on Material Design guidelines to enhance faster navigation to essential app features. The applied updates bring better user experience together with shorter emergency response durations while delivering improved final results. This project demonstrates AI's capacity to team up with technology for providing instant real-time help in critical circumstances.
Keywords: Artificial Intelligence (AI), Medical Emergency Response, Chatbot Assistance, Ambulance Locator API, Geolocation Services, Emergency Healthcare Application.
