OmniLingo: Listening- and speaking-based language learning

TL;DR

OmniLingo introduces a decentralized architecture leveraging IPFS for listening and speaking language learning, emphasizing user control over data and providing a demonstration client.

Contribution

The paper presents a novel architecture for language learning applications that prioritizes data decentralization and user sovereignty using IPFS.

Findings

Successful demonstration client implementation

Decentralized data distribution for language learning

Enhanced user control over learning data

Abstract

In this demo paper we present OmniLingo, an architecture for distributing data for listening- and speaking-based language learning applications and a demonstration client built using the architecture. The architecture is based on the Interplanetary Filesystem (IPFS) and puts at the forefront user sovereignty over data.