isha-cpu / nature-s-forteller

Nature's Forteller

Nature's Forteller is an application that aims to help users prepare for and respond to natural disasters by providing real-time information and assistance.

The Central Idea

Nature's Forteller aims to provide a comprehensive service to help people deal with natural disasters. It offers features to prepare users before a disaster occurs and provides assistance during and after the event. The application provides real-time predictions of the occurrence of natural disasters, alerts users in affected areas, and assists in locating nearby relief centers. It also facilitates the dissemination of relief information to users, even in areas with low or no internet connectivity.

Features

· Disaster Prediction: Nature's Forteller predicts the probability of various natural disasters occurring in the user's proximity. It leverages data from reliable sources and uses machine learning algorithms such as Support Vector Machines for classification.

· Real-time Weather Data: The application utilizes the user's location to provide up-to-date weather data, enabling users to stay informed about changing conditions.

· Nearest Relief Centers: In the event of a disaster, Nature's Forteller calculates the nearest public relief centers and provides directions to help users reach these centers safely.

· Offline Relief Information: Nature's Forteller ensures that users in areas with limited internet connectivity can still receive relief information. It sends SMS alerts with important information to users, allowing them to stay updated even without an internet connection.

· Broadcasting Messages: The application generates broadcasting messages using natural language processing techniques such as speech-to-text and machine translation. These messages can be sent to users and their friends or family members, even if they do not have Nature's Forteller installed on their devices.

· Heat Map for Emergency Response: Nature's Forteller sends a heat map of users in affected areas to the emergency response teams, providing them with valuable information for coordination and rescue efforts.

Prediction Strategy

To build an accurate prediction model, Nature's Forteller relies on a comprehensive database of real-time weather metrics and historical data collected from various reliable sources worldwide. The application applies machine learning algorithms like Logistic Regression, Support Vector Machines, and Decision Trees to analyze this data and make predictions. Azure's Machine Learning Studio facilitates the development, training, and deployment of these models.

Implementation

Nature's Forteller is implemented as a web application and a mobile application for Android and iOS platforms. The backend is developed using Node.js and Express.js, hosted on Azure. MongoDB is used for data storage and management. The mobile application is built using Flutter, Google's mobile app SDK, allowing for cross-platform compatibility. The application integrates with weather data APIs and utilizes Google Maps API for map visualization on both the web and mobile platforms.

By combining real-time data, prediction models, and user-centric features, Nature's Forteller aims to empower users with the necessary information and resources to effectively prepare for and respond to natural disasters.