Project Overview
PreTIGA focuses on predictive data analytics and modeling for intelligent environments, integrating real-time sensing and AI-driven prediction.
Our Goal
Predict human and environmental behavior from sensor data. Combine temporal machine learning and context modeling. Apply predictive insights to smart environments.
Highlights
Uses real-time data streams for predictive adaptation. Bridges AI, IoT, and user modeling. Executed under Software Campus.
Impact
Enables proactive adaptation of smart environments. Enhances comfort, safety, and efficiency in IoT systems. Strengthens predictive modeling in pervasive computing research.
