Smart RescueAI

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  Solution

What it does

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.At situation of emergency ,when a caller dials the emergency number and there are no available handlers, the call is automatically redirected to the Smart Rescue 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 context 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, AI will immediately transfer the relevant information to the handler. This information includes the callers location, a transcript of the call, and any other relevant details. If the call is less urgent, Smart Rescue may provide automated responses to guide the caller through the situation until an emergency handler is available.

Our hackathon project, RescueAI, solves this problem by using artificial intelligence to grade the importance of each call and transfer the relevant information to the emergency operator. This helps emergency services to respond more efficiently and effectively, potentially saving lives and reducing property damage.The Features which we have in RescueAI :AI-powered call management: RescueAI 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: RescueAI 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: RescueAI also records the location of each caller and provides this information to the handler.Call transcript: RescueAI 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, RescueAI can provide automated responses to callers to guide them through emergency situations until an emergency handler is available.RescueAI is aiming to increase emergency communication throughput, while reducing emergency call systems issues and making the process of emergency response more efficient.

How we built it

We will built it with artificial intelligence.

Challenges we ran into

Some of the challenges we faced were in the areas of voice recognition, the Ethereum implementation and some of the backend integration with the frontend of our application.

Accomplishments that we're proud of

Our project is very helpful for the mankind as when the emergency call center is busy and some person need help then he can register about his condition on the smart rescue system which will asks some questions and then provide the suitable possible help to the person. This type of projects are very necessary in this time of modern Era. Our project will help lot of peoples

What we learned

We learn a lot like chainlink,and artificial intelligence

What's next for Smart RescueAI

We will add some features like automatic call responder

Built With

• artificial
• ethereum
• intelligence
• python
• restapi