
AI ProjectsEarthquake PredictionDeep LearningCNNBiLSTMReinforcement LearningSeismic RiskStreamlit
Earthquake Prediction and Estimation using Deep Learning Techniques
An advanced AI system leveraging Deep Learning & RL to predict seismic activity, pinpoint epicenters, and estimate magnitude and risk levels.
Beneficiary
National Earthquake Monitoring Centers / Disaster & Crisis Management Authorities / Geological Research Institutes
Project Year
2026
Project Details
A comprehensive seismic prediction and risk assessment dashboard built on real-time and historical USGS datasets. Utilizing state-of-the-art AI architectures (CNN, BiLSTM, GANs, Backpropagation NN, Fuzzy Inference Systems, and Reinforcement Learning), the platform accurately forecasts potential earthquake occurrence time, epicenter location, and magnitude (Richter scale). Features interactive maps, temporal preprocessing, risk scale indicators, and automated model retraining dashboards.
Technologies
PythonStreamlitCNNBiLSTMGANsBackpropagation NNFuzzy Inference System (FIS)Reinforcement LearningLeaflet / OpenStreetMapUSGS APIPandasPyTorch / TensorFlow
