Author(s): Dr. Pranav Patil, Sushil Shivaji Chavan

Urban environments are composed of urban population, infrastructure, town governance and business markets inside cities. The zoom of rising technologies for sensing and act data is being leveraged by business firms to make digital applications wherever machine learning applications analyze multiple varieties of data currently obtainable from instrumented infrastructure, public and personal urban transactions and citizens? quality to rework urban environments. This type of transformation is our read of what permits a “digital city”. Business markets are at the guts of this idea, with business applications of digital infrastructure apace developing, as a result of knowledge from multiple sources square measure a lot of simply obtainable and analyzed across multiple knowledge layers drawn from totally different sectors and regions of town. the power to see real time data and insights drawn from that knowledge concerning the urban surroundings that surrounds property and establish its reference to property worth provides an unprecedented potential for enhancing property development selections, primarily through higher forecasts for building utilization, a lot of correct assessment of the getting power of users of property, and by higher risk assessment of property users. This text presents an analysis of the potential edges of digital cities for property development deciding.