| Idea Name: |
SWARP |
| Slogan: |
Get Smart Real Estate Assistance |
| Supervisor Name: |
Maj Khawir Mehmood |
| Supervisor Designation: |
Assistant Professor |
| Supervisor School: |
MCS |
| Supervisor Department: |
Computer Software (CSE) |
| Contact number: |
03005008293 |
| Email ID: |
[email protected] |
| Abstract: |
| SWARP is a web application for real estate prediction based on machine learning algorithm. It will allow its users to predict Real Estate features & detect scam or fraud property listings. |
| What is the unmet need in society that your idea will fulfill ? |
| SWARP will be different from other real estate web apps of Pakistan (Zameen & Graana). SWARP will predict features of real estate & fill the gap the in the buying / selling process of real estate in addition to fraud detection. None of the present website assist users with such type of functionality |
| Who needs it ? How many would benefit ? |
| 1) Real Estate Buyers 2) Sellers 3) Tenants 4)Property Owners (Landlords) 5)Real Estate Agents 6)Investors 7)AI Research Community 8) Entrepreneurial Community
|
| How will the solution works |
| SWARP will be a web application that will use machine learning techniques.
First phase: To generate structured & cleansed dataset (Scraping, data warehousing & Preprocessing )
Second phase: Development of smart web engine using machine learning (Implementation of classical Machine learning techniques & Neural Network)
Third phase: Develop a web application for the deployed model (Front end development (Flask) and model deployment (AWS Hosting))
Fourth phase: User Experience & live testing |
| Who are your competitors ? How is your solution different |
| Our major competitors may include all type of real estate web applications working in Pakistan (zameen.com / graana.com). But none of these web applications provide the functionalities provided by the SWARP. (Price predication, features prediction & Fraud detection) |
| Status: |
new |
| Entry Date & Time: |
2020-12-19 (1846) |
