In today’s diverse and interconnected world, embracing multilingualism stands as a key element in fostering global communication. Enter the groundbreaking project — Talking kAIoska — a visionary concept poised to reshape the conversational AI landscape.This innovative venture transcends linguistic barriers, redefining the paradigm of communication.

Unlike traditional kiosks, Talking kAIoska is a dynamic AI conversational avatar system catering to small businesses, large businesses and government entities. Leveraging GCP, AWS, MS Azure or Intel Developer Cloud and OneAPI, it hosts a multilingual, hyper-customizable interface tailored to meet the diverse needs of users worldwide and also offers enhanced flexibility, scalability, and data security.

The distinguishing feature of Talking kAIoska lies in its multilingual prowess. By supporting an extensive array of languages, it revolutionizes user interaction. This advancement holds the potential to mitigate the necessity for English as a global lingua franca, empowering users to communicate effortlessly in their preferred language. Talking kAIoska ‘s ability to cater to a multitude of sectors — ranging from healthcare and government to retail and beyond — signifies its versatility. By providing hyper-customizable, multilingual solutions, it not only enhances customer service but also augments accessibility to vital information.

For small businesses, this technology offers a gateway to enhanced customer engagement. Talking kAIoska is adaptable and cost-effective, enabling small enterprises to deploy tailored conversational AI solutions, boosting their competitiveness and fostering customer satisfaction.

Additionally, a patent application (IN 202341052097) filed in India highlights the innovative nature of Talking kAIoska , emphasizing its commitment to technological advancement and intellectual property protection.

A Software Implementation of a Conversational Multilingual Avatar-Based Interactive Multifunctional AI Kiosk and Mobile Application With Computer Vision. TechRxiv. January 29, 2024. DOI: 10.36227/techrxiv.170654367.78895795/v1