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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63577
Volume:
10 |
5 |
May 2026
Pages:
1--
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Masters of computer application
Bapuji institute of engineering technology i
Masters of computer application
Bapuji institute of engineering technology i
The AI Assistant for Emergency First Aid Guidance is designed to provide immediate, accurate, and situation-specific medical assistance during life-threatening emergencies. The system allows users to describe symptoms or emergency situations using natural language interaction and receive structured first aid instructions in real time during critical times when professional medical assistance may be delayed. In order to interpret user input categorize medical intents and produce suitable first aid instructions the suggested solution makes use of machine learning (ML) and natural language processing (NLP). TensorFlow and NLTK are used in the development of the model which is trained on a structured dataset of emergency medical intents and related responses. Cardiopulmonary resuscitation (CPR) wound care burn treatment allergic reactions and other urgent medical situations are just a few of the emergency situations it efficiently detects and handles. The AI-based assistant provides dynamic adaptive and continuously improving responses based on model training and optimization in contrast to traditional static first aid manuals or predefined emergency programs. The system guarantees accessibility usability and quick deployment across a variety of user groups by incorporating the chatbot into web and mobile platforms. It reduces panic and response time while guiding users through crucial first-response procedures as a virtual emergency companion. When required the assistant can also suggest getting in touch with a medical professional. This study shows how AI-driven conversational systems can revolutionize emergency healthcare management by raising public awareness facilitating quicker response times and improving overall safety results.
KEYWORDS
The potential of artificial intelligence to revolutionize emergency healthcare management is exemplified by the proposed AI Assistant for Emergency First Aid Guidance. The system offers precise situation-specific first aid instructions in real time by combining mobile computing machine learning and natural language processing technologies. The AI-powered assistant in contrast to conventional static first aid manuals provides dynamic and adaptive responses based on user input greatly lowering panic and reaction times in emergency situations. By bridging the gap between prompt first aid response and expert medical consultation the addition of a doctor appointment and GPS-based healthcare recommendation module further improves the system. Emergency support is accessible at any time and from any location thanks to the cross-platform Flutter application which guarantees accessibility across a variety of user groups. All things considered this study shows how intelligent conversational systems can raise public awareness give people the confidence to act in an emergency and speed up medical intervention. To further improve accuracy and dependability in life-threatening situations future improvements might include multilingual support voice-based AI interaction real-time sensor integration and ongoing model improvement.
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Publication Date
5/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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