Problem Statement

We have examined the problems in industries related to us and have provided solutions for them in the Netword ecosystem.

Problem	Solution
Legacy Machine Translation relies on rule-based or statistical methods. They often produce grammatically correct but less fluent and contextually accurate translations. They struggle with idiomatic expressions and nuanced meanings. While they've been available long, they have quality, adaptability, and scalability limitations.	AI Translation represents a significant leap forward. They continually improve translation quality with more data, providing fluent and contextually accurate translations. They adapt well to new language pairs and tasks, are scalable for various languages, and are more accessible to users, reducing the need for extensive linguistic expertise.
Grammatical errors usually accompany the output of AI translation.	After the AI translation, outsource it to the spell check and grammar check services and use the final output.
For sensitive tasks, machine translation still cannot be fully trusted.	At a lower cost, only double-check the translation by humans.
NFTs, regardless of their community or the artist's value, are inherently meaningless. Spending on them has high risk.	Words are inherently meaningful based on individuals' beliefs. NFTs, which include them, can have value with minimal external justification.
We require substantial processing resources to train AI in a specific field of expertise, and we have to allocate the ecosystem's capital to cloud companies.	To train AI, by utilizing users' hardware resources, we make payments to them and circulate the capital in the ecosystem.
Service usage KYC Required. Sometimes, companies misuse customers' information by selling it, sending advertisements, or having their servers hacked. This prevents many people from doing KYC to protect their privacy.	By offering services in return for cryptocurrency and not accepting fiat, leave KYC to exchanges.