Abstract:
Real estate is a major and growing industry in Pakistan. It may be considered as the foundation stone of the economy of many countries. Pakistan real estate sector has to face a lot of scams / frauds. In addition to this, it needs a technology boost in order to assist Pakistani people for smart guidance. Fraudulent properties have been an issue in the real estate sector. Frauds reduces the transparency in the buying-selling process. Also, the lack smart assistance in real estate sector makes the buying-selling process very cumbersome. SWARP is primarily a real estate-based project with the goal to automate the prediction of real estate and to minimize the frauds.
SWARP will not only serve Pakistani people by introducing price prediction feature but also the area calculator as per the given requirements. Along with this, it will also provide smart assistance to detect fraud / anomaly properties.
SWARP is an end-to-end web application that uses machine learning techniques to predict all the above-mentioned features. Primarily, it bridges the identified gap in Real Estate sector of Pakistan and takes it to a whole new level. Our proposed system can predict all features with more 80% accuracy and in a efficient manner.
