India is currently the hotbed for emerging technologies like AI & machine learning. But the need of the hour is “Deep Tech” which fundamentally is a connection of different types of technologies, not just AI & ML but also computer vision, image processing, blockchain, and AR/VR, to come up with a solution that is not trivial but a revolutionary one.
However, there are a few limitations such as the skills of the engineering graduates in India to meet this demand, the quality of data in India continues to be an issue because of the diversity of demographics, languages etc. in the Indian market which could slow the momentum.
With a passion for solving such issues in India, Bangalore-based Dhiyo is utilising AI and machine learning to help the folks to solve job market inefficiencies for the blue-collar sector by building a quick prototype using Google Assistant. Founded by Santhosh SS in 2018, Dhiyo is a Conversational AI interface for the job seekers in the informal sector who can create their profile or resume just by speaking to their smartphone through a series of voice commands in their own native language.
Dhiyo leverages state-of-the-art NLP(U) and ML techniques to deliver the industry’s most robust and engaging conversational experience.
The flagship product of Dhiyo is a Vernacular Conversational AI Platform. It is a conversational voice interface where the job seekers in the informal sector can create their profile/resume just by speaking to their smartphone through a series of voice commands in their own native language. Through this open-ended, natural and dynamic conversations, the company is able to gather deep candidate insights as well as build trust and confidence with the job seekers and connect them with the right employers.
The voice-first and mobile-centric platform improve employability by enabling, empowering and engaging users in India by helping them build their digital identity (resume), discover gainful jobs as well as connecting them with relevant employers after background verification.
Use of AI and ML
The speech engine at Dhiyo evaluates all possible meanings and interpretations of the utterances to determine what the user is saying and asking. The NLU engine supports native Indian languages by building segmentation support for different languages and allows training text and utterances in the appropriate language.
The platform is based on some fundamental building blocks for conversational AI like natural language understanding (NLU), intent identification, information extraction, action triggers, query understanding and transformation, natural language response generation, speech processing, personalisation, etc.
Home » How This Conversational AI Startup Is Solving Job Market Inefficiencies In India
Core Tech Stack
The core tech stack that Dhiyo is using to build its product is a loosely coupled architecture where the components are highly modular. Some of the frameworks that are being used are React Native, Angular, nodeJS, expressJS, MongoDB and multiple customised ASR/NLP engines in the backend.
Currently, Dhiyo is a team of 10 people and is looking to grow. Talking about talent, Santhosh explained that the company is very keen on getting talent with not only best aptitude but also an attitude that aligns with our company culture. He said, “We want to build a workplace environment that values creative problem solving, open communication and a flat hierarchy.”
Currently, the market is huge for conversational voice AI with vernacular language, especially for the Indian market and even outside India. According to the founder, Dhiyo is built to understand the pain points of the masses and provide intelligent solutions. In the coming years, the product of Dhiyo envisions to create a huge socio-economic impact by not imposing English literacy as a pre-condition for being members of the new knowledge & digital economy.
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