Daffodil Software, The software services provider won the award for its AI-enabled Mobile App for Currency Detection called MANI (Mobile Aided Note Identifier). The exemplary mobile application was built for one of Daffodil's prestigious clients - Reserve Bank of India (RBI) - which helped the visually-impaired identify the denomination of Indian banknotes. The application proved the scope of Artificial Intelligence benefitting 8 million visually impaired people across India. With more than 1 million downloads, the MANI app functionality has been lauded for its utility and simplicity.
Daffodil Software bagged the award for the Best Financial Services Mobile Application at the recently held annual Mobile Web Awards organized by the Web Marketing Association.
The development of the application came with its own set of challenges such as identifying the notes in different light conditions. To overcome this, team Daffodil used Machine Learning (ML) with Image Classification. Another major challenge was to enable the app to function in offline mode for users with low or no internet connectivity. This raised the problem of self-training in the data set for which the team at Daffodil rigorously trained the data set to provide accurate results.
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