Technology Innovations

Posts Tagged ‘Artificial Intelligence

For the 220 million smartphone users in India, a Bangalore-based startup Street Smart Mobile Technologies has launched an app, SMS Sunami, to organize the deluge of transactional and promotional text messages we receive on our phones daily. The app, which is built using Android Studio, is based on an artificial intelligent platform that uses natural language processing to understand the context of messages and automatically classify them into predefined categories such as bills, entertainment, food, health and fitness, lifestyle, telecom operator, tickets, travel, and more.

According to a recent study, there are over two billion mobile phone subscribers worldwide who use the short message service (SMS) to exchange more than 350 billion text messages every month. Of these over 15% are promotional messages. The SMS Sunami app is aimed organizing and categorizing text messages of the Android smartphone users, making the messages in the default inbox easier to sift.

Street Smart Mobile Technology team (L-R): Prakhar, Prabhu, and Sudeep

Street Smart Mobile Technology team (L-R): Prakhar, Prabhu, and Sudeep

Incubated at Tata Elxsi’s Incub@ate, StreetSmart Mobile Technologies was founded in May 2014 by 27-year-old Prabhu SNM of Chennai, Tamil Nadu, with software engineers Prakhar Dighe (25) of Indore, Madhya Pradesh, and Sudeep (24) of Narsapuram, Andhra Pradesh. The trio developed the SMS Sunami app as an offshoot of another app that was aimed at offering hyper-local offers to consumers on their smartphones.

The hyper-local offers app could not succeed but the research for it led the team to realize that consumers are receiving host of text messages directly from service providers and merchants. And besides these messages, people also receive transactional messages processed by banks and of course, personal messages as well. No wonder our message box keeps filling up. And as the name suggests (and refers to tsunami), to help the users clear their inbox without having to delete their messages, SMS Sunami automatically categorizes the overwhelming number of messages a user receives.

“Our algorithm categorizes all text messages except those received from 10-digit numbers, which are personal numbers. This feature ensures privacy,” explains Prabhu.


Key features

Besides organizing the incoming messages into defined groups, the key feature of SMS Sunami is that it is capable of reading promotional text messages to serve contextual offers based on the content. For example, if you have a confirmation message from an airline on your travel tickets, SMS Sunami will serve you a cab-rental offer on the date of your travel. The concept applied to smartphone is much similar to what Google does by reading your mailbox. 

SMS Sunami app screenshot-Lifestyle

Lifestyle category screenshot of the app

Addressing the privacy concern on messages being read by the app, Prabhu says, “The SMS Sunami app does not store any messages to read and understand them. The program is built to ensure that the app works offline, without the need for the Internet, and does not store any data on the server. Our program simply functions within the app, reads the message, and pulls contextual offer from the associated merchants. The only time when the app uses the Internet is to identify the message sender with the brand logo to serve the message to the user in a more aesthetic manner.”

Besides this feature, the app allows easy search through the message box that allows you to search through your messages, by vendor name or by keywords. It also allows you to delete messages in bulk. SMS Sunami also automatically identifies key information in messages, such as contact numbers, web links, PNR, tickets, and provides them as ‘call for action’ links, making it easier for the user to use the information instantly.

The free beta version of the app is currently available on Android Play store.

Asked about the release of the iOS version of the app, Prabhu says, “The message APIs [application program interfaces] in the iOS are restricted for developers. This means we cannot develop any iOS app that requires reading the user’s messages. In this matter, I have written to Tim Cook requesting the need for leniency. I am awaiting his reply.”


Next steps

The team is working on scaling up the app into free and premium versions. The beta version is in the pre-revenue stage with 1,000+ customers. The trio’s short-term target is to increase the user base to 10,000 customers by the year end.

Sharing his plans for the future, Prabhu adds, “In future we plan to introduce ‘personal’ as a category so that our algorithm can detect personal messages without intruding privacy and categorize them appropriately. We also plan to enable the app to both receive and send messages. The idea is to eventually replace the default messaging application on smartphones with the SMS Sunami app.”

Improved user interface and enabling the user to customize the categories are also part of the plan. The team is also mulling over the idea of patenting the app’s software in the U.S.

The SMS Sunami team can be contacted at and +91-9790949400.


Chennai-based Mad Street Den startup has built a cloud-based platform that uses artificial intelligence to enable any smartphone with a camera to identify faces, detect facial expressions and emotions, and react to facial and head gestures. The expression acts as a trigger for a certain action, for example, frowning at the phone when an unwanted call comes in could make it shut down forthwith, or lifting an eyebrow could send the caller a message asking ‘What now?’

This image-recognizing platform, called MAD Stack, can be used by app developers and companies to create a futuristic mobile user experience. Mad Street Den founders Ashwini Asokan and Anand Chandrasekaran  explain that the idea is to make machines more useful by making them a bit human: fun, intelligent, and relevant.

The process of recognizing a human expression or responding to a gesture is simple for a human brain, but quite complex for a smartphone camera to do digitally. It is artificial intelligence that enables a camera to do this. What’s more, the app keeps getting smarter with use, through machine learning algorithms. Read more

Californian company ecoATM has rolled out a recycling ATM that offers people the option to trade in their discarded mobile phones for cash, rather than dumping them when they go in for the latest model. The machine is sophisticated enough to evaluate unwanted goods for resale and recycling,  hoping to inspire people to go green.

The ecoATM finds second homes for three-fourths of the phones it collects, sending the remaining ones to environmentally responsible recycling channels to reclaim any rare earth elements and keep toxic components from landfills. 

Using artificial intelligence (AI) ecoATM kiosks can differentiate varied consumer electronics products and determine a market value. If the value is acceptable, users have the option of receiving cash or store credit for their trade or donating all or part of the compensation to one of several charities. Read more

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