AI-Based Climate Forecast Predictions using Machine Learning

Abstract

The project AI-Based Climate Forecast Predictions using Machine Learning focuses on developing an intelligent system that predicts weather and natural disasters using Artificial Intelligence and real-time data analysis. Built with Java/XML and integrated with Firebase Realtime Database, the system collects environmental parameters such as temperature, humidity, pressure, and wind speed through the OpenWeather API. Using trained machine learning algorithms, it forecasts upcoming climatic events and identifies potential risks such as cloudbursts, landslides, and earthquakes. If a high-risk condition is detected, automatic alerts are sent to the Rescue Assistance Team for immediate response. The system also includes an AI Chat Assistant that uses Natural Language Processing (NLP) and Generative AI to provide personalized weather insights and safety guidance. Additionally, Google Maps API is integrated to fetch the user’s live location for SOS alerts, while educational videos enhance community awareness. Users can also report emergencies directly, enabling a collaborative and proactive disaster management network.