The real estate market is increasing at a rapid pace, which has also led to increase in risk of investment in real estate. In this paper analysis of real estate markets and prediction of the risk involved in the investment has been done. The approach proposed here clusters the property based on market value per square feet located in different school districts. This also help buyers to make scientifically based decisions on investing in property. The result demonstrate that tat the proposed prediction model estimates approximate value for their property. The prediction give a lower as well as upper limit on the market value of the property. This prediction can safeguard against asset bubbles that are created by various parties involved in real estate network. We can conclude that when buyers and investors are aware of the market price of the asset in future they can safeguard themselves from asset bubbles. Thus, this work is also used to protect against asset bubbles.