Unity Relief
ABEL MATHEW
JAISON T JACOB
LINTO LALICHAN
ROMEL K REIS
Department of Computer Applications SAINTGITS COLLEGE OF ENGINEERING (Autonomous)
Kottukulam Hills, Pathamuttom P.O., Kottayam 686532
November 2024
ABSTRACT
The UNITY Disaster Relief platform is a cutting-edge digital solution aimed at identifying and assisting individuals impacted by natural disasters. This web-based platform leverages a combination of machine learning (ML), database management, and HTML to streamline the process of tracking, locating, and providing support to affected populations. With the rise in natural disasters due to climate change and other environmental factors, there is a growing need for fast and accurate identification of disaster-affected individuals. UNITY Disaster Relief addresses this by using machine learning algorithms that process and analyze real-time data from various sources, including social media posts, satellite images, government alerts, and user-submitted information.
The backend database stores critical information about affected individuals and disaster areas, enabling rapid retrieval and data management. By applying machine learning, the platform can predict disaster spread, assess damage levels, and prioritize individuals needing urgent assistance. The HTML front end ensures a user-friendly interface where users, emergency responders, and volunteers can efficiently navigate the platform, input relevant data, and access vital information.
UNITY Disaster Relief is designed to be a scalable and flexible solution that can be adapted for different types of natural disasters such as earthquakes, hurricanes, floods, and wildfires. It not only serves as a resource for immediate disaster response but also facilitates longer-term recovery efforts by connecting affected individuals with relief organizations. Through seamless integration of ML, database technology, and accessible web design, UNITY Disaster Relief aims to provide a comprehensive support system that reduces response time, enhances coordination, and ultimately aids in saving lives during critical disaster events
