Tunnels are essential substructures that are deeply influenced by the soil that surrounds them, particularly when employing the New Austrian Tunneling Method (NATM), in which the soil that surrounds the tunnel disperses under part of the load applied and the leftover load is borne by the tunnel's initial lining. Tunnels are influenced strongly by the soil that surrounds them. NATM is a tunneling construction technique that prioritizes security, safety, and economics. In this paper author review based on the Significance of Remote Sensing and Geographic information system (GIS) in the NATM-related to Tunnel Construction. Although the suggested architecture shows promise, there are currently significant limitations that might be addressed by integrating a NATM-based tunneling platform, an Application Programming Interface (API) for remotely detecting phenomena, and cutting-edge data gathering and processing technologies. From the comparative study, the author can deduce that the suggested approach, Intelligent Neural Network (INN), provides the greatest value of (95%) for accuracy, which is much higher than any of the other techniques considered.