This paper is published in Volume-7, Issue-3, 2021
Area
Computer Engineering
Author
Bhaumik Kesalikar, Mayank Doshi, Hardik Doshi
Org/Univ
Universal College of Engineering, Mumbai, Maharashtra, India
Pub. Date
20 May, 2021
Paper ID
V7I3-1367
Publisher
Keywords
Real Estate Recommendation

Citationsacebook

IEEE
Bhaumik Kesalikar, Mayank Doshi, Hardik Doshi. Real Estate Recommendation System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Bhaumik Kesalikar, Mayank Doshi, Hardik Doshi (2021). Real Estate Recommendation System. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Bhaumik Kesalikar, Mayank Doshi, Hardik Doshi. "Real Estate Recommendation System." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

Technology has advanced in the field of Online Real Estate Marketing, market trends and advances in various techniques such as data science, editing and filtering algorithms, machine learning is growing rapidly These days, however, web sites for sale are paying a lot of money to get their services. Our proposal The web site overcomes this problem and provides customers with free services so that they can access the information you need and to measure future market trends and technologies in a friendly manner. Ours The website is basically an online service where the user will be able to buy / rent / sell properties as they wish Focus on building an easy-touse web application. This can help people to communicate easily with buyer / seller / employer, as this program uses the KNN process to process user queries, to identify the key words, align them with Knowledge Base and respond with real results. To make the answers more understandably, answers are made using classification techniques and produce non-textual responses to can be easily seen by users. The program also uses machine learning capabilities to process data such as price of buildings for years to come based on previous data records
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