1. Introduction
  1.1 Background
  1.2 Problem Statement
  1.3 Objectives
  1.4 Significance of the Study

2. Literature Review
  2.1 Overview of Natural Disasters
  2.2 Traditional Approaches to Disaster Prediction
  2.3 Artificial Intelligence in Disaster Prediction
  2.4 Machine Learning Algorithms for Natural Disaster Prediction
  2.5 Deep Learning Techniques for Natural Disaster Prediction
  2.6 Challenges and Limitations

3. Methodology
  3.1 Data Collection and Preprocessing
  3.2 Feature Selection and Extraction
  3.3 Machine Learning Models for Natural Disaster Prediction
  3.4 Deep Learning Models for Natural Disaster Prediction
  3.5 Evaluation Metrics

4. Experimental Results and Analysis
  4.1 Dataset Description
  4.2 Performance Evaluation of Machine Learning Models
  4.3 Performance Evaluation of Deep Learning Models
  4.4 Comparative Analysis of Prediction Accuracy
  4.5 Real-Time Prediction System

5. Discussion
  5.1 Interpretation of Results
  5.2 Comparison with Existing Approaches
  5.3 Implications and Applications
  5.4 Limitations and Future Directions