Demo Website
Replit Deployment Link
Youtube Video Link ⏯️
- AI-powered call management: ResqAI uses natural language processing (NLP) and machine learning (ML) to identify the urgency of each call and prioritize them accordingly.
- Call grading based on keywords: ResqAI grades each call based on the keywords spoken by the caller. This allows the system to quickly identify urgent calls and transfer them to the emergency handler.
- Location tracking: ResqAI also records the location of each caller and provides this information to the handler.
- Call transcript: ResqAI provides a transcript of each call to the emergency handler, allowing them to quickly and accurately assess the situation and respond accordingly.
- Automated responses: In some cases, ResqAI can provide automated responses to callers to guide them through emergency situations until an emergency handler is available.
In emergency situations, every second counts. However, when the emergency call center is overwhelmed or understaffed, callers may have to wait for a long time before their call is answered. This delay can be critical and could result in a loss of life or property. Our hackathon project, ResqAI, solves this problem by using artificial intelligence to grade the importance of each call and transfer the relevant information to the emergency handler. This helps emergency services to respond more efficiently and effectively, potentially saving lives and reducing property damage.
When a caller dials the handler and there are no available handlers, the call is automatically redirected to the ResqAI system. The system then asks the caller to describe the emergency situation and uses NLP and ML algorithms to analyze the content of the call. Based on the keywords and phrases used by the caller, the system grades the importance of the call and assigns it a priority level.
If the call is urgent, ResqAI will immediately transfer the relevant information to the handler. This information includes the caller's location, a transcript of the call, and any other relevant details. If the call is less urgent, ResqAI may provide automated responses to guide the caller through the situation until a emergency handler is available.
To use ResqAI, simply integrate the system with your emergency services call center. The system can be easily customized to meet the specific needs of your organization. ResqAI is compatible with most modern phone systems and can be configured to work with any existing emergency call management software.
We welcome contributions from developers and emergency services professionals who are interested in improving the ResqAI system. If you would like to contribute, please fork this repository and submit a pull request with your changes.
ResqAI is licensed under the MPL-2.0 License. See LICENSE for details.
If you have any questions or feedback about the ResqAI system, please don't hesitate to contact us -
Prayasu Satapathy
Siddhartha Bhattacharjee
Alan Christofer
Annamalai Prabu