Dakshini℠ delivers meaningful impact across accessibility, operational efficiency, and digital service quality. By focusing on Odia as its core language and providing multilingual support for over 75 languages, the system bridges long-standing gaps in communication, usability, and service delivery. Its influence extends across government departments, enterprises, and everyday public interactions, making technology easier and more inclusive for diverse user groups.
The most immediate impact is removing language barriers. A large part of Odisha’s population prefers Odia for communication, and many users struggle with English-dominant digital systems. Dakshini℠ enables them to interact confidently in their own language, whether they are asking a question, seeking help, or navigating a procedure. This improves user satisfaction and broadens digital adoption, especially in rural and semi-urban regions.
Dakshini℠ also brings a significant operational advantage to organizations. Many departments and companies deal with repetitive queries that consume time and require continuous human involvement. By handling these conversations automatically, the system reduces the workload on call centers, help desks, and support staff. This allows human teams to focus on high-value tasks while the AI manages routine communication at scale.
For government bodies, the impact is even broader. Dakshini℠ can explain schemes, documents, processes, and guidelines in simple Odia, improving transparency and accessibility. It ensures that citizens receive consistent and correct information at any time, without long waiting times or dependency on physical offices.
In the enterprise sector, multilingual capability means businesses can serve customers across languages without building separate tools. Whether a user writes in Odia, Hindi, Bengali, or English, the system adapts instantly. This strengthens customer engagement, reduces response times, and improves service quality across channels like WhatsApp, websites, and mobile applications.
On a technological level, Dakshini℠ sets a new baseline for Odia-first AI development. By creating curated datasets, custom evaluation metrics, and accurate language modeling, the system contributes to the advancement of regional AI research—an area previously lacking structured work. As some of these datasets become publicly available, they will help developers, researchers, and institutions build better tools for Odia and other low-resource languages.