Project Name
Algovera
Project Category
Build & Integrate
Proposal Earmark
General
Proposal Description
BlockScience Lab’s recently launched a web2 app for designing and building complex system models within teams. This includes a custom JupyterLab extension where token engineers and data scientists can write experiments and publish notebooks as static web2 pages. We believe that platforms like this can be further improved through Web3 integrations, such as our previous work on integrating MetaMask, Filecoin, and Lit Protocol with JupyterLab. We now want to go one step further and allow notebooks created on JupyterLab to be published as NFTs on the Ocean Marketplace. This functionality is useful for the DeSci space since notebooks are similar to interactive scientific papers.
Grant Deliverables
- [ ] Add functionality to allow notebook files (.ipynb) as urls for algorithms published on the Ocean marketplace. This will enable automatic deployment to different compute providers’ environments using SAME Project.
- [ ] Add “Publish to Ocean” button to our JupyterLab extension.
- [ ] Report on implementation of a custom compute backend to our JupyterLab extension.
- [ ] Get C2D working with Filecoin links, write unit tests and add to to ocean.py and provider PRs.
- [ ] Algovera Grants Round 4
- [ ] Begin Kubeflow Pod to continue work on integrating ML deployment pipeline.
- [ ] Preparation for Algovera Demo Day #1
- [ ] Host Session #3 of Privacy Preserving ML Study Group
Project Description
We are a community of data scientists making it easier to build, co-own and monetize AI apps in Web3. We describe Algovera in three layers: (i) community, (ii) tools/libraries/integrations, and (iii) commercialisation. We onboard data scientists to Web3, train them to use tools such as wallets, the Ocean marketplace, Compute-to-Data (C2D), and run a grants program to help them to kickstart their own projects. We provide and infrastructure that integrates many technologies such as data marketplaces, decentralized storage and compute, data science libraries and DAO infrastructure that makes it easier for community members to progress from initial idea to a team with a monetized AI app.
Final Product
A Web3 AI marketplace with tools, libraries and integrations that make it easy to build, collaborate and monetize AI apps.
Value Add Criteria
- Usage of Ocean
Data scientists are natural data consumers. Creating further tools, libraries and integrations (and making it easier for data scientists to onboard to Web3) will help to increase consume volume of data and algorithm tokens. Funding more data science projects will result in more new projects and assets using Ocean. Completing freelance work will help to develop raw data into algorithms and insights.
Core Team
Richard Blythman
- Role: Data Science and AI lead & Community Manager
- Relevant Credentials (e.g.):
- GitHub: https://github.com/richardblythman
- LinkedIn: https://www.linkedin.com/in/richard-blythman-64b2b948/ 1
- Background/Experience:
- Video Intelligence Researcher at Huawei Technologies
- Research Fellow (Computer Science), Trinity College Dublin
- Machine Learning R&D Engineer at FotoNation, Xperi
- Kernel Fellow, Gitcoin
Hithesh Shaji
- Role: Business Strategy Lead & Full Stack Developer
- Relevant Credentials (e.g.):
- GitHub: https://github.com/hithesh98
- LinkedIn: https://www.linkedin.com/in/hithesh-shaji-141274159/
- Background/Experience:
- MSc Computer Science, University of Bath
- Consensys Blockchain Developer Bootcamp
- Kernel Fellow, Gitcoin
- UG Cert Innovation and Entrepreneurship
Keaton Kirkpatrick
- Role: Operations Lead & Full Stack Developer
- Relevant Credentials:
- Github: https://github.com/keatonkirk
- LinkedIn: https://www.linkedin.com/in/keaton-kirkpatrick-63b327100
- Background experience:
- Merchant Account Operations Team Lead at ActBlue
- Consensys Blockchain Developer Bootcamp
- Udemy: Ruby certified developer, Blockchain Development A-Z
- Member of Boston Blockchain Association
Jakub Smékal
- Role : Full Stack Developer, Data Scientist, Token Engineer
- Relevant Credentials:
- GitHub : https://github.com/smejak
- LinkedIn : https://linkedin.com/in/jakub-smekal 1
- Background/Experience:
- Machine Learning Research Intern at Rossum
- Open Web Fellow at Opscientia
Funding Requested
20000
Minimum Funding Requested
10000
Wallet Address
0x823351c03A99b4820793675760f4A64F5ccA9089