🌩️ Tropical Cloud Clusters (TCCs) Detection using AI/ML

This project presents an AI/ML-based system to identify and classify Tropical Cloud Clusters (TCCs) using half-hourly satellite data. The workflow combines unsupervised clustering with Random Forest classification to detect convective cloud systems and assess their severity using meteorologically interpretable features.

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📌 Objectives

• Preprocess satellite-based cloud observation data
• Identify potential Tropical Cloud Clusters (TCCs)
• Apply clustering algorithms to group similar convective systems
• Use Random Forest classification to label and assess TCC severity
• Extract and interpret key meteorological features influencing classification

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🧠 Machine Learning Techniques Used

• Clustering:
  • KMeans used to discover natural groups in the cloud system data
• Classification:
  • Random Forest model trained on derived features to categorize TCCs into severity levels