Real Estate Allocation
Abstract & Details
Research Area
Computer Engineering
Keywords
Real estate allocation
investment portfolio
asset allocation
risk management
diversification
investment objectives
investment constraints
risk-return trade-off
real estate market analysis
property types
investment strategies
market dynamics
economic trends
risk factors
performance metrics
investment options
direct ownership
real estate investment trusts (REITs)
private equity funds
real estate derivatives
portfolio optimization
correlation analysis
risk tolerance
liquidity requirements
investment horizon
regulatory considerations
sustainability
environmental
social
and governance (ESG)
energy efficiency
social impact
corporate governance.
Abstract
Main aim of this application is to help users find the best area to live by considering a number of key factors that are important to them. Users can input their salary and desired cost of living, as well as the importance they place on factors such as distance to school, distance to work and distance to traffic. Algorithms used in this project then use this information to recommend the top neighborhood that meets the user's criteria.
To provide the most accurate and comprehensive recommendations possible, this application considers a wide range of data sources, including real estate prices, commute times, and local amenities. It will also consider the user's personal preferences, such as the type of neighborhood they prefer (e.g. urban, suburban, rural) and the types of amenities they value (e.g. parks, restaurants, cultural attractions).
The application is designed to be user-friendly and easy to use, with a simple interface that allows users to quickly input their information and receive personalized recommendations. Whether you're a student, a working professional, or a family looking for the perfect place to get home, the designed application will cover all the requirements.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dr.Nagaveni.V | AMC Engineering College |
| 2 | Satyam Kumar | AMC Engineering College |
| 3 | Uttam Kumar Pandey | AMC Engineering College |
| 4 | Ravi Raj | AMC Engineering College |
| 5 | Vishal Pratap Singh | AMC Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Dr.Nagaveni.V, Kumar, Satyam, Pandey, Uttam Kumar, Raj, Ravi, & Singh, Vishal Pratap (2023). Real Estate Allocation. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 2323-2330.
MLA Style
Dr.Nagaveni.V, et al. "Real Estate Allocation." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 2323-2330.
IEEE Style
Dr.Nagaveni.V, Satyam Kumar, Uttam Kumar Pandey, Ravi Raj, and Vishal Pratap Singh, "Real Estate Allocation," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 2323-2330, 2023.
Vancouver Style
Dr.Nagaveni.V, Kumar Satyam, Pandey Uttam Kumar, Raj Ravi, Singh Vishal Pratap. Real Estate Allocation. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):2323-2330.
Harvard Style
Dr.Nagaveni.V, Kumar, Satyam, Pandey, Uttam Kumar, Raj, Ravi, & Singh, Vishal Pratap (2023) 'Real Estate Allocation', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 2323-2330.
Chicago Style
Dr.Nagaveni.V, et al. "Real Estate Allocation." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2323-2330.
Turabian Style
Dr.Nagaveni.V, et al. "Real Estate Allocation." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2323-2330.
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