Create a machine learning pipeline, that categorizes disaster events.

Here is the Repository contains three Data Science projects which is Disaster_Response_Pipeline, Recommendation_with_IBM, Write a Data_Science Blog Post.

This is an integrated disaster rescue ecosystem for real-time situational awareness and priority classification. It integrates edge wearable telemetry (ESP32, MAX30102, GSR, MPU6050, NEO-6M GPS) and an underwater action ROV (Arduino Uno, 4x thrusters, LiPo) with an AI-powered Flask central dashboard acting as the main orchestrator.

Notus Regalia is a modern holding company advancing strategic innovation across Defense, Intelligence, Healthcare, Civic Infrastructure, Energy, and Disaster Response.

Pipeline for classifying messages sent out during disaster events and building and running a small web app for message classfication

Distaster Response Project - ETL Pipeline, ML Model & Flask APP

A Dockerized data analytics project that automates the ingestion and analysis of FEMA disaster and insurance claims data. Built with Python, PostgreSQL, Docker, and Power BI, it delivers real-time KPIs for disaster response efficiency and claims management. Includes GitHub Actions CI/CD for automated builds, testing, and deployment.