Team: Black Pearl
Team Members:
- Nazeef Ahmad (Team Lead)
- Pragati Upadhyay
- Arunabh Bhattacharya
- Mentor: Ms. Garima Singh
MedQuick is an advanced healthcare system designed to revolutionize medical resource management and emergency response. By harnessing the power of Artificial Intelligence (AI) and Augmented Reality (AR), MedQuick enhances real-time decision-making, optimizes resource allocation, and improves care delivery in critical situations.
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Real-Time Resource Tracking:
Utilizes AR and IoT for instant updates on hospital bed availability and blood supplies, ensuring quick access to critical resources. -
Predictive Analytics:
Uses AI to forecast healthcare demands and disease trends, enabling proactive planning and efficient resource management. -
Autonomous Ambulance Dispatch:
Integrates AI to optimize ambulance routing and dispatch, reducing emergency response times. -
Secure Data Management:
Employs blockchain technology for secure storage and management of patient medical records and prescriptions. -
First Aid AR Assistant:
AI-powered AR assistant provides real-time first aid guidance, offering immediate support based on symptoms.
Healthcare systems today face significant challenges, including:
- Delays in locating available hospital resources.
- Slow emergency response times due to inefficient dispatch systems.
- Limited ability to predict future healthcare demands.
- Security and accessibility issues with patient data management.
MedQuick addresses these challenges by utilizing AI and AR to provide real-time data, improve emergency responses, and secure patient information.
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AI and AR Integration:
Combines AI’s data processing with AR’s visualization to present real-time updates directly to healthcare professionals. -
Predictive Analytics:
Uses machine learning models to predict future healthcare demands, enabling proactive resource allocation. -
Blockchain for Security:
Implements blockchain technology for decentralized, secure storage of patient medical records. -
Autonomous Systems:
Develops AI-driven ambulance dispatch to reduce response times and optimize routes.
- AI & Machine Learning: For predictive analytics and decision-making.
- Augmented Reality (AR): To display real-time resource information.
- Internet of Things (IoT): For data collection from medical facilities.
- Blockchain: For secure and decentralized data management.
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For Hospitals:
Access real-time data on bed availability, blood supplies, and specialist availability. -
For Emergency Responders:
Use AI-driven dispatch for optimized ambulance routing and AR assistant for first aid guidance. -
For Patients:
Quickly find the nearest hospital with available resources and access personal medical records securely.
- Faster Response Times: Reduces delays in emergencies.
- Improved Resource Utilization: Optimizes the use of hospital resources.
- Enhanced Predictive Capabilities: Enables effective planning for future demands.
- Secure Data Management: Ensures patient information is protected and accessible.
- Expand integration with more medical facilities.
- Enhance AI algorithms for more accurate predictions.
- Develop additional AR tools for broader healthcare applications.
- Team Lead: Nazeef Ahmad
- Email: [email protected]
- Team Members: Pragati Upadhyay, Arunabh Bhattacharya
This project is licensed under the MIT License - see the LICENSE file for details.
MedQuick: Transforming healthcare through innovation and technology.