REGAReal Estate Generative Assistant
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REGA(Real Estate Generative Assistant) is a conversational real estate chatbot developed by Cityscape Technology( that can answer property-related questions in a natural, conversational way. It is a standalone or independent conversational assistant just like chatgpt for real estate. 


For example, a user looking for a house can ask REGA to find a two-bedroom house in Toronto, Canada and it will come up with relevant information from the Cityscape database. User does not need to use filters, and is not blocked by UI limitations. To facilitate users with getting started, several prompts are provided on the home screen of the user :-



Sample Prompts

REGA is a real estate generative AI-based assistant that can provide users with assistance if they are looking for property. It can answer all kinds of questions related to the property based on property attributes or description e.g. beds, baths, price, amenities, area, pool, beautiful kitchen etc.

REGA is designed to be user-friendly and engaging. It can help you find the right property by answering your questions in a natural and conversational way. With REGA, you can get all the information you need about a property without having to leave the chat window.

ChatGPT does not have up to date real estate information, whereas REGA can answer all your real estate queries with up-to-date information from Cityscape property database.

Here’s the link to REGA :

Searching for 800 dollar home in Toronto

Interesting REGA Conversations


Here’s a conversation example, where a user wants to search for a cheap two bedroom home in Toronto. User is also interested in amenities such as schools near to the home.

User Story | Adam wants to search for cheap 2-bedroom house which is closer to top schools in Ontario, Canada


Adam : How many homes are for sale in Toronto, Canada?

REGA : There are 7,104 homes for sale in Toronto, Canada.

Adam : Can you provide details of cheapest 2 bedroom homes

Here are the details of the cheapest 2 bedroom homes in Toronto:-

1. Address: 4645 Jane St, Unit 723, Toronto, ON M3N2K9 Price: $239,900 Description: Exceptional location, great opportunity to own a 1+1 bedroom condo. New windows, updated flooring, fully renovated. Close to York University, with easy access to Hwy 410 & 407, school, hospital, shopping, and subway. Streetcar will be running in the near future.
2. Address: 4673 Jane St, Unit 516, Toronto, ON M3N2L1 Price: $289,900 Description: Why rent when you can own! Excellent for a first-time home or investment. Live in Toronto and enjoy all it has to offer. Close to all amenities, including shopping, schools, parks, and public transit.
3. Address: 4673 Jane St, Unit 621, Toronto, ON M3N2L1 Price: $310,000 Description: Affordability in an unaffordable market. Upgraded throughout (2023). Beautifully laid out 2 bedroom open concept condo. All new appliances, brand new kitchen, and floors throughout. Walking distance to York University. Conveniently located to Hwy 400. Taxes are very low! Close to all other amenities.
4. Address: 57 Neptune Dr, Unit 302, Toronto, ON M6A1X2 Price: $325,000 Description: Spacious & bright unit, newer laminate floors throughout, updated kitchen counter, bathroom & windows, newly painted. Unobstructed south park view. Low maintenance fee. Bright all year round and breezy.
5. Address: 207 Galloway Rd, Unit 804, Toronto, ON M1E4X3 Price: $329,000 Description: Great opportunity to own a 849 sq ft 2 bedroom, with open concept living/dining room and walk-out to balcony that is conveniently located. South/west exposure, close to schools, shopping, TTC, and more.

Adam : Can you provide details of the second house

REGA: The details of the second house are as follows:
Address: 4673 Jane St, Unit 516, Toronto, ON M3N2L1 Price: $289,900 Description: Why Rent When You Can Own!! Whether You Are Looking For A First Time Home Or As Investment, This Condo Is Excellent! Live In Toronto And Enjoy All It Has To Offer. Close To All Amenities, Including Shopping, Schools, Parks, And Public Transit.
Features: Community Centre Heating: Forced air, Electric
Included in the sale are all window coverings and all other permanent fixtures on the property belonging to the seller and free from all liens or encumbrances.

Adam : Can you tell about closest schools to the above home

The closest schools to the home located at 4673 Jane St, Unit 516, Toronto, ON M3N2L1 are:
a. Yorkwoods Public School – 0.4 km away
b. Father Serra Catholic School – 0.5 km away
c. St. Agatha Catholic School – 0.7 km away
d. Emery Collegiate Institute – 0.9 km away
e. York University – 0.9 km away

Adam: Which of the above offers best computer science courses

York University offers the best computer science courses, located just 0.9 km away from the home at 4673 Jane St, Unit 516, Toronto, ON M3N2L1. York University offers a variety of computer science programs, including BSc in Computer Science, Specialized Honours BSc in Computer Science, and Master of Computer Science (MCS).

Adam: What are their best research programs

York University offers a variety of research programs, with an emphasis on computer science, information technology, and software engineering. Programs of research include Digital Humanities, Distributed Computing, Secure Software Engineering, Smart Systems, and Web and Mobile Application Development. The research program has been successful in producing significant contributions to the field of computer science.

Adam: How much their bachelor degree costs

York University’s Bachelor of Science in Computer Science program costs $13,383.39 for the 2021-2022 academic year. This includes tuition, compulsory student fees, and other related expenses.

Tim is trying to find the best Affordable house within his budget

Tim : What’s the best market to buy in Canada?

The best market to buy in Canada varies depending on your goals, budget, and preferences. Some popular markets include Toronto, Vancouver, Montreal, and Ottawa. These cities offer strong job markets, diverse communities, and cultural attractions. However, there are also smaller cities and towns across Canada that may offer more affordable housing and a different lifestyle. It’s essential to research and determine which market best suits your needs and priorities before making a decision.

Tim:  What are the most affordable options in Toronto?

There are many places with same name Toronto can you be more specific:

Toronto, ON, Canada
Toronto NSW, Australia
Toronto, OH, USA
Toronto, KS, USA
Toronto, SD, USA
Toronto, ON, Canada

In Toronto, the most affordable housing options are typically found in the outer suburbs and neighborhoods further from the downtown core. Some areas to consider include Scarborough, Etobicoke, and North York. Additionally, you may find more affordable options by looking at condos or townhouses instead of detached single-family homes. Keep in mind that prices can vary depending on the specific neighborhood, property type, and market conditions, so it’s essential to research and consult a local real estate agent for guidance based on your budget and preferences.

Tim: What are some affordable homes in Toronto with an income of 50k/yr?

Here are some affordable homes in Toronto for someone with an income of 50k/yr:

238 Albion Rd, Toronto, ON M9W6A7 – Parking spot for sale at $22,000.
25 Viking Lane, Toronto, ON M9B0A1 – Parking spot for sale at $25,000. Must be a registered owner in 25/35 Viking Lane to purchase.
140 Simcoe St Unit 209, Toronto, ON M5H4E9 – Fractional ownership (2.5%) of a condo valued at $1,025,000. Monthly payment is $3,984.
800 Lawrence W, Toronto, ON M6A1C2 – Treviso1 parking space and locker for sale at $28,888. Located in P-3 and P-2, both next to elevators.
95 Barber Greene Rd, Toronto, ON M3C3E9 – Turnkey business cafe/caterer for sale at $29,000. Located in a busy office building with hundreds of potential customers.
Please note that these options may not be traditional homes, but they are the most affordable listings available in Toronto for someone with an income of 50k/yr.

I don’t have preferred location, but my budget is $800k; can you find be best home in Toronto

Here are some of the best homes in Toronto within your budget of $800,000:

10 Morrison St Unit 406, Toronto, ON M5V2T8 – A 2-bedroom, 1-bathroom apartment with a price of $800,000. It features an open concept, 765 sqft loft, expansive terrace overlooking the CN Tower, and a separate gym or office area.

1040 The Queensway Unit 901, Toronto, ON M8Z0A7 – A 2-bedroom, 1-bathroom penthouse condo priced at $800,000. This modern two-storey condo boasts tall ceilings and an abundance of natural light.

1563 Albion Rd Unit 61, Toronto, ON M9V1B2 – A 3-bedroom, 2-bathroom townhouse with a separate bachelor basement apartment, priced at $800,000. The property has been well-maintained and updated.

2010 Islington Ave Unit 1504, Toronto, ON M9P3S8 – A 3-bedroom, 2-bathroom luxury apartment priced at $800,000. It features a beautifully renovated modern bright kitchen and approximately 2000 sqft of living space.

65 East Liberty St Unit 1019, Toronto, ON M6K3R2 – A 3-bedroom, 2-bathroom apartment priced at $799,999. This property is located in Liberty Village and offers a functional layout with open concept living space.

Please note that these properties are subject to availability and market conditions. It’s always a good idea to consult with a local real estate agent for the most up-to-date information.


Cityscape technology has taken a lead in real estate search by introducing a purely conversational assistant based on leading innovations in AI and natural language processing. This is a new revolution in human-computer interaction, and empowers users to express their requirements in a natural human language whereas system makes efforts to understand them and give them a response in a conversational way. In coming days, REGA will be used by community in many interesting ways, presenting new challenges and opportunities and opening gates for more innovation.

By Hassan Amin

Dr. Syed Hassan Amin has done Ph.D. in Computer Science from Imperial College London, United Kingdom and MS in Computer System Engineering from GIKI, Pakistan. During PhD, he has worked on Image Processing, Computer Vision, and Machine Learning. He has done research and development in many areas including Urdu and local language Optical Character Recognition, Retail Analysis, Affiliate Marketing, Fraud Prediction, 3D reconstruction of face images from 2D images, and Retinal Image analysis in addition to other areas.