In this project, we will develop a smart real estate system that will help realtors to get information about market trends, potential market analysis, property price prediction, and below market analysis with a single click. Moreover, they will be able to keep track of all clients and ease their wor
Smart Realtor Estate Solution
In this project, we will develop a smart real estate system that will help realtors to get information about market trends, potential market analysis, property price prediction, and below market analysis with a single click. Moreover, they will be able to keep track of all clients and ease their work.
Real estate agents are normally less tech-savvy. Therefore, manual property analytics generation to convince a buyer or seller is an extremely time-consuming process for them. With the advent of the machine learning era, there are future trends that can help investors to invest in areas with a higher return. However, it is hard for realtors to quickly generate such trends in the potential market for investors. Furthermore, predicting the price of a property is highly dependent on the whereabouts and recently sold similar properties in the neighbourhood. This requires data mining which is also a tiring and time-consuming task for realtors. This normally results in losing several clients. At the same time, managing clients is itself a huge administrative task that requires client satisfaction by managing client queries, responses to client ratings etc. Therefore, the real estate industry requires a system where these technical issues can be resolved.
We have designed the front end with simple HTML, CSS and JavaScript and the backend with Django (Python framework). We are using MySQL as a database in our project.
These are the benefits we are proving to our realtors:
We are collecting data from users regarding properties. Any user can register his/her property for sale or lease. On the base of this data, we are performing different functionalities like predicting the price of the properties on the base of the property address or even realtors can predict by providing some features of the property. We are doing a complete Comparative Market Analysis (CMA) of a property as well.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Document | Miscellaneous | 10 | 1000 | 10000 |
| Total in (Rs) | 10000 |
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