We’ve decided to prioritize the user frontend development over the deployment of ML models on SNET. The reasons for this are mainly: 1) we’re now retraining some of our existing ML models based on language models so that they are less computationally demanding -> we want to deploy the new more efficient models on SNET; 2) we want to have a user-facing demonstrator asap -> it helps the project dissemination more if it has something tangible that can be shown to regular users, whereas having all the backend ML models on SNET and still having no user interface is too abstract for lay community.

Other stuff done in June: 1) designed the first version of UX; 2) subcontracted a UX expert who now creates the UX graphics; 3) finalizing the search for a frontend developer, signing contract, etc.

We have rebranded our project so that it’s got a simple name and a webpage where we can share the progress and other info. Until now, we actually had no name :-)

The new name of the project: Mawu.ai

The new webpage: https://www.mawu.ai

We’ll start building the community as soon as we have a functioning demonstrator of the product. We don’t want to grab attention of people too prematurely.

We are progressing with the machine learning modules - this has been the main chunk of work in the last reporting period. These ML modules were developed since the last report: - classification & detection of: clickbait, hate-speech, political bias, stereotype

We’re now somewhat slowing down development of user frontend. We know this will put us into sort of a delay against the original milestone plan, but still there’s a lot of room to make up for it in near future.

The reason for this tactical slowdown is the market condition and drastic decrease of ADA price. We’ve kept most of our incoming funding from Catalyst in ADA (the ML-core of our team is partially self-funded, so we were able to do this), saving them for subcontracting new team members, especially frontend dev, UX expert, and a blockchain engineer in near future. But ADA lost a lot of its value in fiat equivalent, so at this very moment we don’t want to exchange the awarded ADA to fiat and subcontract an external team member.

Instead, we’re waiting for ADA price to recover. As soon as it hits the level of the third catalyst tranche we received, we’ll swap the third tranche amount to stablecoin. We’ll do the same with the forthcoming fourth tranche - ie. swapping it immediately to stablecoin. After this, we’ll hire the frontend dev and UX person.

The first two tranches will remain in ADA and we’ll see the future market trajectory. So far there’s still enough time for the project.

• we have these machine learning modules prepared:
  • classification & detection of: genre, seriousness, topic, anger
• 4 other modules will be prepared next month
• next stept: SingularityNET wrapper for these modules
• other ongoing activities:
  • rebranding our project to give it a new nice name - we’ll show next month when it’s ready ;-)
  • new project website in progress, we’ll open it next month
  • still looking for a good part-time frontend developer who’s willing to get paid in ADA
  • we’ll also need to subcontract a really good UX person for couple of mandays to help with the web plugin design - we’re looking for this person; if we don’t succeed in our our network, we’ll kindly ask the catalyst community

• There was initially a slight delay in the project kick-off (2-3 weeks) but it has no significant negative effect on the project as a whole (that’s why I tag it as on track). The reason was mostly related to the outbreak of the war in Ukraine and resulting general „paralysis“ in Central Europe (everyone focused on helping war refugees and their families, including some people in our team).
• We had a meeting with NuNet (Kabir Veitas, Mark Faraday and others) about how to deploy via their platform.
• Now planning mtg with Matthew Ikle from SingularityNET about how to best deploy our ML models on SingularityNET.
• In progress: setting up our Stake Pool (part of the project)
• In progress: hiring a UX/UI expert and a blockchain developer - we might need some help from the community in this
• In progress: learning SingularityNET developer documentation
• In progress: continuous development and improvement of our ML/NLP models