Smart Landslide Prediction and Emergency Alert System Using AI-Techniques

Significant threats to people, property, and the environment are posed by landslides, especially in areas with unstable terrainand high rainfall. Communities are left vulnerable by the inaccuracy and tardiness of traditional forecast and warning systems. This research uses cutting-edge AI methods including Natural Language Processing (NLP), Convolutional Neural Networks (CNNs), and Logistic Regression (LR) to address these issues. To more accurately forecast possible landslides, the method combines historical data, satellite imagery, soil analysis, and weather information. CNNs examine visual cues and changes in the landscape, whereas LR models offers data that are easy to recognize and are helpful in determining how various factors affect the potential of landslides. NLP is used to create and distribute real-time warnings on social media sites like Facebook, Instagram, and Twitter, guaranteeing clear, localized information. Rapid notifications are guaranteed by the automated system, enabling communities to react.Through guide, efficient communication, this new approach improves public safety and prediction accuracy while reducing the effects of landslides and saving lives.