Building an AI-Powered ASR Engine for Vernacular Languages

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01:54: Tackling India's Littering Problem with 300 Feet
04:23 Discovering a Problem that 700+ Million Indians Face
07:51 Building a Speech to Text Engine for Indian Languages
10:34 Becoming the Talk of the Town, and Raising Funds

Tackling India's Littering Problem with 300 Feet: Ananth Nagaraj started his first company in order to clean up Bangalore. He imagined a country where, in major cities, there were dustbins located every 300 feet, so that people had no excuse to litter. Unfortunately, he wasn't able to scale this startup, and ended up shutting it down and getting a job instead.

Discovering a Problem that 700+ Million Indians Face: Even though 300 Feet Eco Solutions didn't work out, Ananth still wanted to improve India somehow. One day, he realized that people living in rural areas of India had no way of getting information easily. Comprehensive, high-speed mobile network coverage wasn't available in these rural areas, people didn't have smartphones which could be used to look things up on Google, and even if they did, many of them could not read and write. As a result of this realization, Ananth decided to create an AI powered speech recognition engine so that people could make a call and get the answers that they were looking for, without needing to type or rely on mobile data.

SOCIAL MEDIA PARTNERS:

DESIGN PARTNER: Trigger Inc.

LOCATION PARTNERS: CoworkIn (Delhi NCR), 365 Shared Space (Bangalore)

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