Developed by the Graduate student Spriha Bhandari, who is originally from India, and a group of other students from the Cornell University, the app called "Pocket Change" is a chat bot that enables peer to peer transfer of cash to digital.
Bhandari, 18, said the app has been developed as part of the Bill and Milinda Gates Foundation to look into ways towards financial inclusion in the emerging markets wherein people are living on less than USD 2 a day and are basically on a cash-based economy.
"Over the course of the semester, we came up with our final product. For this we used Google Vision to take pictures of the physical cash for the transfer," she said.
Other members of the team include Arpit Sheth, Jamie Yu,Jonathan Cutler and Zachary Silverstein.
"We first had an app that encouraged digital loans, but we realised that we couldnt just leapfrog to a fully digital solution, so we pivoted and made pocket change cash friendly product that builds out the missing infrastructure needed to encourage a digital economy, said Jamie.
Pocket Change can channel 4.7 trillion dollars in rural India to digital, allowing the people there to earn interest or build credit perhaps even for the first time, she said.
"The challenge was to figure out a way that can help us transition some of these people that are living on USD 2 a day, who are not having any bank accounts or any kind of digital savings," said Sheth.
The digital product basically allows anybody to act as an ATM for anybody else, Sheth told PTI.
According to Cutler, the idea was to match people who wanted to deposit money with people who wanted to withdraw money, to make this Uber-like transaction between people in a community that did not have an ATM infrastructure.
Users scan banknotes into their phones, and the amount and serial number are verified using Google Vision.
The chatbot then connects a user who wants to deposit cash with one who wants to withdraw, based on the amount requested, proximity and trust rating. Users then meet in a safe, public space to carry out the real-life transaction.
"We tried to focus on aspects of security, reliability, reputation, and rating to make the idea feasible for real people," said Culter.
After considering a range of options, the team opted for the chatbot model because it offered a cost-effective solution that would appeal to users who may not be accustomed to using digital products.
"Someone who is technologically illiterate and wants to feel safe and secure, would feel better talking to someone," Culter said.
Using tools such as voice and text recognition, a bot can be "fully conversational", he said.
Disclaimer: No Business Standard Journalist was involved in creation of this content
You’ve reached your limit of {{free_limit}} free articles this month.
Subscribe now for unlimited access.
Already subscribed? Log in
Subscribe to read the full story →
Smart Quarterly
₹900
3 Months
₹300/Month
Smart Essential
₹2,700
1 Year
₹225/Month
Super Saver
₹3,900
2 Years
₹162/Month
Renews automatically, cancel anytime
Here’s what’s included in our digital subscription plans
Exclusive premium stories online
Over 30 premium stories daily, handpicked by our editors


Complimentary Access to The New York Times
News, Games, Cooking, Audio, Wirecutter & The Athletic
Business Standard Epaper
Digital replica of our daily newspaper — with options to read, save, and share


Curated Newsletters
Insights on markets, finance, politics, tech, and more delivered to your inbox
Market Analysis & Investment Insights
In-depth market analysis & insights with access to The Smart Investor


Archives
Repository of articles and publications dating back to 1997
Ad-free Reading
Uninterrupted reading experience with no advertisements


Seamless Access Across All Devices
Access Business Standard across devices — mobile, tablet, or PC, via web or app
