WOOD PECKER ANALYSTICS HACKTHON Presentation

The primary objective is to enhance disaster preparedness and response by providing accurate predictions and actionable insights to emergency responders and affected communities. The system will be useful for various domains, including environmental monitoring, emergency management, public safety, government agencies, disaster relief organizations, infrastructure management, climate research, and insurance.

1. Problem Statement: Natural disasters cause significant loss of life and property, and
timely prediction and response are critical to minimizing their impact. Develop an AI
system that predicts natural disasters such as earthquakes, floods, and hurricanes
using historical data and real-time inputs, and suggests optimal response strategies.
Objective: Enhance disaster preparedness and response by providing accurate
predictions and actionable insights to emergency responders and affected
communities. Domain: Environmental monitoring, Emergency management, Public
safety, Government agencies, Disaster relief organizations, Infrastructure
management, Climate research, Insurance.
12-7-2024
AI DISATER MANGEMENT
TEAM NAME-CODE 74

2. Briefly elaborate on what you want to discuss.
TEAM MEMBERS
TANVI PAKHALEKAMLESH PAWAR SUYASH WAGADE

3. PROTYPE OF AI DISASTER
Earthquake FLOOD CYCLONES

4. IDEA AND APPORACH
TECHNOLOGY STACK
SYSTEM ARCHITCURE
By offering preparation and response guidance on the website, the
system enhances community resilience by empowering users with
actionable insights to mitigate the impact of natural
The AI system collects and preprocesses data to develop predictive
models for earthquakes, floods, and cyclones, ensuring high accuracy
and efficiency in disaster prediction.
It integrates real-time monitoring to provide seamless updates on
evolving disaster conditions, keeping users informed and enabling
timely emergency response.
Engaging video tutorials demonstrating key preparedness
actions to enhance user understanding.

5. SHOW STOPPER
Early Warnings: Emphasize the ability to predict disasters with more lead time, allowing for evacuations and saving
lives.
Real-Time Data Integration: Highlight the model's ability to analyze real-time data like seismic activity, weather
patterns, and water levels for more up-to-date predictions.
Customizable Alerts: Demonstrate the model's ability to send targeted alerts based on location and potential risk, ensuring
people receive relevant information.
Continuous Monitoring: Implement monitoring tools to continuously track system performance, data accuracy, and
model predictions.
Tailor predictions: Go beyond generalities. Briefly showcase how the model refines predictions for different
earthquake types (shallow vs. deep), flood causes (storm surge vs. riverine), or cyclone intensities.
Video soultions:Demo videos with clear "Dos and Don'ts" for different disaster scenarios, along with helpline
numbers for relevant organizations.

6. EARTHQUAKE
By leveraging historical and real-time data, the earthquake
prediction and response system provides accurate predictions
and optimal response strategies. This enhances disaster
preparedness and minimizes the impact of earthquakes on life
and property, contributing to a safer and more resilient
community.

7. FLOOD
The flood prediction and response system leverages
historical and real-time data to provide accurate predictions
and optimal response strategies.
By continuously monitoring hydrological conditions and
dynamically updating response plans, the system enhances
disaster preparedness and minimizes the impact of floods on
communities.

8. CYCLONES