Artificial Intelligence in QUEST to RISK RETURN 2018-19

The current REAL ESTATE market in India 2018 positions as traditional investments instruments,Investors,real estate assets ,improving construction quality, improving transparency in real estate markets. The market size for investment grade has increased for properties under construction. The new government mandates to deliver infrastructure and reform real estate enabling fence sitting investors to execute investments.

“Location, location, location” are said by some real estate agents to be the most important features of a house. We found that wasn’t true, at least for linear models. The most important feature of the house was its interior living space. The second most important feature of the house was a feature related to location: the median income of the census tract holding the house. What is the data break up for renter- in terms of married, single, divorced Income, unsurprisingly, has implications for the way we live- how many owners are married, married with children? Is there any data spruce from where this feed can be made available? WHAT is the income gap between owners and renters TODAY IN THE COUNTRY? What are the support/housing costs for owners/renters? Increased or decreased with time?”

There are many questions that are prevalent in the real estate market for developers and buyers today. Real estate portals won’t make recommendations based on physical characteristics (# of rooms, price, square footage), but based on the consumer’s personal value system. Properties will be matched to individuals based on personality traits and preferences. What if a consumer filled out a profile and was matched with properties that best fit his or her ideologies?

Artificial Intelligence (AI) is the ability for a machine to solve problems by learning over time. It is similar to the way a brain processes information when making a decision.

The technology is now so pervasive we no longer associate it with science fiction.

Zvestamate is for community sharing on the decision of WHAT, WHEN & WHERE of constructing homes for Builders, Developers .What to buy, when to buy and where to buy homes for consumers.

Our Artificial technology categorizes each inventory based on PAS-the Physical data, Amenities and Spatial data . Algorithms run on the data consist of construction features, interiors of the homes, facilities provided inside the home, the floor and the tower, the facing details, amenities within the society, towers location, the nearby Geo location features that surround the project & basis on these data, rating will be done for properties. Likewise, some home sold from a particular category of homes will help in the price prediction of the similar home in that category stack and further will also work as recommendation service based on Identifying Customer buying habits , what type of customer consumes what type of inventory. For many years, selling or buying a house has been seen as the most complex business one would engage in. As a home seller or buyer one would want to know every essential detail about the property, what affects the price, whether home is to be bought now or later etc. For example, Builders are constructing home but not able to sell their constructed home. Builders are also offering number of amenities but customers do not still like their home. Now from the customer’s end, Customers are not sure what type of home should I buy, should I buy now or should I wait and buy later, if buying now so where should buy home. We are building transparency in Real Estate by building a Real Estate Rating & Recommendation engine that is Intent based on Artificial Intelligence.

We work on technology like Predictive Analytics for real estate and offering opportunities to the Real Estate companies that embrace this technology in the right way & enjoy benefits at its infinite. Centralized engine for hosting their inventories – All the gathered information directly from builders related with their projects & inventories would be hosted on our website www.zvesta.com and user can view in depth detail of the property along with their rating & how strongly it is recommended.

AI algorithms also have the advantage of being objective decision makers. When a machine tells consumers a property is a good deal, it’s because it has calculated that answer based on all the data that’s available to it. When a human real estate agent tells you it’s a good deal, it may be because of their intuition, or because they have a vested interest in getting the property sold.And when home buyers are no more dependent on the brokers or builders to get an overview of the location and project. Features of Analysis, reports through graphs & charts consumers are able to understand in depth about trends, locality sentiments, best buy with features in the different projects, details of the project etc.

In the Future In the future it’s feasible that an AVM system could be applied to home buyers, and not just sellers. What would that look like? What if you knew about the trends and tendencies of someone looking for a home. You knew what their income was and what qualities in a home were important to them. You could price homes not just based on the market, but based on individuals.

Asserted by Ms. Anushree Srivastava, Co-Founder & CEO ofZvesta