By- Srushti sharma
Preethi P lives in the hamlet of Agara, which is situated in the southwest Banglore suburbs. She usually sews clothing during the day.
Prethi finds herself reading passages into a smartphone one day in her native Kannada language.
She worked at a startup called Karya, along with seventy other employees.
Their goal is to collect text, voice, and image data in the regional tongues of India.
The business works in multiple nations, including Kenya and India, gathering and categorising data that is necessary for AI chatbots and virtual assistants to respond appropriately.
Karya is differentiable from other data sellers by its dedication to provide equitable remuneration, particularly to women residing in rural areas.
By 2030, it is anticipated that India alone will have one million data annotators due to a boom in generative AI.
Karya has been hired by IT behemoths like Microsoft to source local speech data for their AI products.
The majority of AI services are created in English, but as the technology becomes more widely used across the country, there is an increasing need to diversify the database.
The fact that non-English datasets are of poor quality and lack conversational data in languages like Hindi exacerbates this problem even further.
giving underprivileged workers in remote regions a platform and a voice assistance-equipped programme that runs offline