NoBroker.com, a C2C real estate platform in India, has adopted Google Cloud to develop innovative solutions that enhance customer experience.
NoBroker is delivering the benefits of AI and machine learning powered by Google Cloud to its customers.
The company recently launched Touchless Entry during the pandemic. NoBroker uses facial recognition using Google Cloud AI/ML technology combined with TensorFlow to ensure safety of residents and visitors.
Cloud Vision-powered program uses crowdsourcing to generate 35,000 property listings every month. Anyone using the NoBroker app can upload a photo of a “to let” or “for sale” board to the platform and the optical character recognition (OCR) feature on Cloud Vision AI extracts the owner’s phone number from the photo and correlates it with listing user information on NoBroker’s MySQL database.
Akhil Gupta, co-founder and CTO at Nobroker, said: “We leverage the latest technologies to provide better real-estate experience for our customers.”
“Our mission at Google Cloud is to accelerate every organization’s ability to power data-led innovation with the best infrastructure, platform, industry solutions and expertise for digital transformation and Nobroker is a great example,” said Karan Bajwa, managing director of Google Cloud India.
NoBroker uses Google Cloud’s offerings such as Google Kubernetes Engine, NoBroker to ensure 99.9 percent uptime. The company’s Rent-o-meter tool also runs on Google Cloud and uses a custom algorithm that predicts rent with 95 percent accuracy by analyzing historical transaction data, property images, market value, trends, and the neighborhood.
NoBroker has built its own data lake called Starship using Google Cloud Storage. NoBroker is able to ingest and store data from sources such as website click stream, user interaction, transaction along with locality data to help them come up with tools and process terabytes of data to generate real time insights for customers.
