Real-Time Disaster Information Aggregation Software

      

ABSTARCT :

Background: Disaster response agencies often stuggle to gather timely and specific information about emergencies from various sources. Social media platforms serve as a valuable repository of such data, but manually monitoring and sorting through the vast amount of information is inefficient and resource-intensive. Description: There is a pressing need for a software solution that can efficiently aggregate and categorize specific disaster-related data from social media, news portals, and other open sources. This software would utilize advanced algorithms to sift through the abundance of information and classify it into different categories data would then be presented on a user- friendly dashboard, allowing disaster response agencies to quickly access relevant information and plan their actions accordingly. Expected Solutions: The software solutions will streamline the process of gathering and categorizing disaster-related data from various soucres, significantly reducing the time required for response efforts. By providing real-time insights and actionable information, the software will enhance the effectiveness of disaster response operations, ultimately saving lives.

EXISTING SYSTEM :

In this paper the incidents have been showing off own mastery, situations have gone beyond the control of human resistive mechanisms far ago. Natural disasters like landslide, earthquake, floods, and debris flows can result in enormous property damage and human causalities in mountainous regions, Landslide are gravitational movement of soil or rock down slopes that can cause serious damage to civil infrastructure. Numerous facility and structural failure caused by landslide have been reported over year. Therefore effort to measure and monitor potential landslide are essential to ensure human safety.The disaster management system prototype using Internet of Things (IoT) proposed is capable of sensing atmospheric changes and upload the data obtained to the cloud server i.e., Thing Speak server. On the occurrence of disastrous events, alerts are given via Gmail and Telegram application using IFTTT SaaS. Actuators like Fan and Sprinklers are used to control disasters like fire and extreme temperature. Smart cities mission is an urban renewal and retrofitting program by the Government of India with a mission to develop 100 cities all over the country making them citizen friendly and sustainable.

DISADVANTAGE :

Data Overload: The system may generate an overwhelming amount of information, making it difficult for users to discern actionable insights from noise. Integration Challenges: Combining data from diverse sources (social media, government reports, etc.) can lead to compatibility issues and inconsistent data formats. Accuracy and Reliability: Not all sources provide accurate or timely information, which can lead to misinformation or delays in response. User Training: Effective use of the software may require extensive training, which can be time-consuming and costly. Privacy Concerns: Aggregating data from various sources may raise privacy issues, especially if personal data is involved.

PROPOSED SYSTEM :

This In addition, the peoples face difficulties in finding safe area or shelter place prior to the occurrence of natural disasters. The entire system mainly uses two methods to work. That means emergency situations are handle by using registered IoT module placed in the buildings as well as mobile application. User can send request through single button click. They can send alerts to user through alarm embedded in IoT module. Each request is send over mobile application with the help of internet connections. By using careful planning and taking emergency steps and making the people into the safer region with the use of IOT module device.The IOT module gets the information from the two sensors namely vibration sensor and the accelerometer sensor.

ADVANTAGE :

Timely Information: Provides real-time updates on disasters, enabling quick decision-making and timely responses from authorities and responders Improved Situational Awareness: Helps users understand the scale and impact of a disaster, allowing for better resource allocation and prioritization of response efforts. Comprehensive Data Sources: Aggregates information from various sources, including social media, news outlets, government reports, and sensor data, giving a holistic view of the situation. Enhanced Communication: Facilitates communication among emergency services, government agencies, and the public, ensuring everyone is informed and coordinated. Predictive Analytics: Some systems incorporate analytics to forecast potential disaster scenarios, enabling proactive planning and mitigation strategies.

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