1. Development of a small-scale mine pit to replicate problems associated with the rubble-based microcavities with and without water flow
2. Collection of geophysical data using electrical resistivity technique, MASW and ground penetrating radar technique for the microcavities in coal mines
3. Training and generation of Convolution neural network for deep learning model using the obtained geophysical field data
4. Prediction and comparison of microcavities using geophysical tests and CNN-based AI models
5. Utilization of bore logs to find the accuracy of CNN models and geophysical tests
6. Production of high-quality publications, patent technology and safety standards shall be the major deliverables
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