Soubir Acharya

Project owner

Composable AI from Appstorm@Zero2AI

Zero2AI proposes a project with a budget of $78,000 (engineering costs), $30,000 (API/cloud cost), and $12,000 (on-boarding cost) to develop a framework that integrates SingularityNET (SNET) services as building blocks into their Appstorm AI app creation platform. Appstorm enables non-technical users to create AI applications with ease. By integrating SNET services, they aim to democratize access to AI services and foster an explosion of AI app creation. The project milestones include design and prototype, implementation of SNET services, QA and production readiness, payment integration, private stand-alone app prototype, and more. The team emphasizes low implementation risks and plans to launch a community token in Q1 2024 to incentivize creators and consumers while promoting SNET services. Open-sourcing is also planned in the near future. The team includes experienced professionals in AI, Web3, and cloud infrastructure.

Arslan Tariq

Project owner

AI career guide

AI Career Counselling aims to use AI to identify personality traits and career aspects to assist human career counsellors rather than replace them. They are seeking $300 in funding to reduce confusion for clients and counsellors while providing the best career advice. The project involves creating plans and guiding clients in the right direction, acting as a bridge between clients and career counsellors. Their marketing strategy focuses on making career and counsellor selection faster and easier. The project milestones include website development and research, with a breakdown of costs. The risks involve acquiring clients and counsellors, which they plan to mitigate through cost reduction and in-house organic marketing, with a voluntary revenue goal of $5.

Gavriel

Project owner

The DAM: Decentralized Autonomous Marketplace

Cyclic Media, Inc. seeks $5,000 to develop the Decentralized Autonomous Marketplace (DAM), a consumer-facing open social platform. Traditional social platforms concentrate profits among a few owners, limiting customization and opportunities for external developers. DAM addresses this by providing a marketplace with a developer-driven components library for web3, traditional apps, AI services, and data solutions.

The DAM allows end-users to customize their experience by integrating apps into their UI. It leverages the SNET marketplace for AI apps, promoting AI app discovery and usage within DAM. This multi-chain, multi-currency platform envisions a diverse ecosystem of apps, widgets, and components.

The project's milestones include exploring AI utility, filtering and matching, data management, hosting, and backlog prioritization. Collaboration with AI developers in the SingularityNET community is planned.

Potential revenue sources include transaction fees, advertising fees, service fees, and venture agreements. The DAM aims to provide user-controlled content moderation and privacy controls, fostering a censorship-resistant environment.

Kenneth Mayfield

Project owner

Modelling Water Table Changes in a Virtual World

Xyris XR Design, led by Kenn Mayfield, proposes an ideation project to research and create a working demo of a simulation that models the effects of water table changes in a select meadow/wetlands location. They request $5,000 in AGIX to conduct this research and create a static demonstration dataset. The project aims to address the challenges posed by climate change and its impact on water tables and local ecology.

The proposed solution involves using a ready-to-use multiplayer Unity HDRP environment, which offers high-quality graphics and can be accessed via browser-based pixel streaming for broader accessibility. The simulation will include changeable parameters, moveable objects, and interactive controls to explore the effects of water table changes and ecological dynamics.

The ideation goals include defining geology, hydrology, species behaviors, flora, and other aspects of the simulated environment. The outcomes will help shape a full proposal for Deep Funding Round 4.

Risk mitigation strategies include addressing typical game development risks and ensuring data accuracy and provenance.

Xyris XR Design plans to publicize their work through virtual meetings and social media promotion. The project milestones and cost breakdown include updating the environment, meeting with scientists, researching literature, building a static dataset, and completing the immersive demo.

This ideation project does not expect to generate revenue or produce an open-source service at this stage but aims to lay the groundwork for future development and integration with SingularityNET.

Kings Ghedosa

Project owner

Drivepadi Technologies: Building Airbnb for Car Rentals in Africa

Drivepadi Technologies Limited proposes to revolutionize car sharing in Nigeria by connecting car owners with renters through a convenient and cost-effective car rental platform. The problem being addressed is the high cost and inefficiency of car ownership and rental in Nigeria. Drivepadi's solution involves a user-friendly app that allows car owners to list their vehicles for rent, providing renters with easy access to a wide range of vehicles. AI and SingularityNET integration will enhance the user experience, optimize pricing, improve safety, and increase operational efficiency.

Their marketing strategy focuses on establishing a strong online presence, leveraging social media, influencer partnerships, and targeted advertising. The project milestones include product development, beta launch, user growth, expansion to additional cities, and partnerships with car rental and insurance companies.

Potential risks such as market competition, regulatory challenges, technology issues, and user adoption are addressed with mitigation strategies. Drivepadi is committed to open-source collaboration, contributing to the tech community and fostering innovation in the car rental industry.

Generative AI Decision Making Advisor: Greening Power Generation for Budgets and the Environment

MLBoost's objective is to create decision-making advisor software driven by generative technologies, initially targeting power plant operations to improve efficiency and reduce energy consumption. This Proof of Concept (POC) serves as a critical demonstration of their technology's potential. Current power plant operations are hindered by slow mathematical optimization methods, resulting in suboptimal performance and increased emissions. MLBoost's POC phase involves sourcing Power Plant Digital Models (PDMs) and comparing generative optimization methods with conventional approaches. The success of this POC will lay the foundation for future software development on the SingularityNet platform, integrating forecasting services like SYBIL for smarter decision-making. The marketing strategy centers on showcasing the solution's superiority to power plant operators, utility companies, and sustainability agencies through case studies and quantifiable metrics.

Trieu Hong Minh

Project owner

Deepfunding news videos, attracting new developers

Blockchain Cardano proposes to leverage their community management and blockchain knowledge to bridge the gap between the Cardano community and SingularityNET. They plan to achieve this through high-quality video content. The videos will cover introductions to Singularity's AI products and services, as well as overviews and developer tools. These videos aim to educate, engage, and inspire both users and developers, fostering creativity and attracting potential AI developers to participate in Deepfunding.

The requested funding amount is $4,150 to support the creation and promotion of these videos. They outline two milestones: the first involves producing and sharing a series of videos introducing AI applications and Deepfunding, while the second focuses on organizing community activities to engage new developers.

The primary problem addressed is the lack of awareness and interest in SingularityNET among developers. The proposed solution involves creating engaging video content, attracting new developers, and facilitating collaboration within the community.

The proposal acknowledges potential language barriers but aims to mitigate this risk by organizing activities and fostering broader development orientations.

Blockchain Cardano's initiative aims to bring new developers into the SingularityNET ecosystem, potentially expanding its pool of talent and ideas for AI projects.

Alignment-Optimized Fundraising Tool for AI Research and Entrepreneurship

RnDAO and ReLab, under the Regenerative Organizations Laboratory, aim to address the problem of stakeholder misalignment in AI development, particularly AGI, by developing the Preferential Return on Investment Soft-Capped Multistakeholder Model (PRISM). PRISM is designed to provide an alternative fundraising model for AI projects, ensuring alignment between entrepreneurs, researchers, investors, and collaborators, prioritizing humanity's wellbeing and safety. The grant application seeks funding to further research and apply PRISM to AI development and alignment, potentially offering a solution to the risks posed by competitive dynamics in the AI field. The project involves research planning, user interviews, design adaptations, presentation, validation, and publishing of findings. It will be conducted in collaboration with SingularityNET, leveraging both organizations' social channels and networks for promotion. The findings will be made publicly available under a creative commons license. Mitigation strategies include a collaborative alliance and the possibility of disproving the hypothesis.

Expand DeepFunding Town Hall to Africa & LATAM

The collaborative network between Swarm, Wada, and the Cardano Latin America Community seeks to expand the DeepFunding Town Hall format to Latin American and African Cardano Communities. They aim to create a distributed network of town halls in the blockchain and AI space, promoting global solutions for beneficial AGI while reflecting local perspectives. By launching town halls in Africa and Latin America, they plan to connect Cardano Communities to SingularityNET's DeepFunding and increase global engagement and participation.

The project is divided into several milestones, including setting up initial resources, training community leaders, hosting Africa and Latin America DeepFunding Town Halls, and reflecting on the experience with recommendations. The total budget for this initiative is $9,500 in AGIX.

To mitigate risks of low participation, they plan to create marketing materials and promote DeepFunding within the communities. The Town Halls will be free and open to the DeepFunding Community, with transparency and open-source principles guiding the project.

SingularityNet Marketplace ChatGPT plugin

Arbiteria proposes creating a ChatGPT plugin to address the lack of information about decentralized AI and the SingularityNet platform. This plugin, funded with $39,000, will provide ChatGPTPlus users with responses related to decentralized AI queries, including information about SingularityNet AI Marketplace listings and the benefits of decentralized AI.

The project aims to raise awareness among both technical and non-technical users in the decentralized AI space. It also serves as a discreet marketing asset, potentially increasing user traffic to the SingularityNet platform and transactions in the SNET marketplace.

The project is divided into four milestones, including building the plugin, incorporating SNET marketplace apps, surfacing specific SNET information, and providing public Beta support. Mitigation strategies are in place in case key stakeholders do not reach a consensus on the information to surface.

The project is open source and may involve voluntary revenue sharing with SNET/Deep Funding for larger or high-risk projects.

Ecosystem strategy by the creators of Catalyst and Intersect

Dor Garbash and Johnny Nguyen, creators of Catalyst and Intersect MBO, propose a project to enhance the Singularity Net ecosystem's strategy. They aim to improve the ecosystem's return on investment (ROI) by conducting research, data collection, analysis, and workshops with key stakeholders. The project, funded with $50,000, seeks to address the challenge of defining Singularity Net's ecosystem strategy to attract top talent and foster innovation.

Their solution involves a rigorous builder-centric strategy based on interviews with ecosystem builders, innovators, and expert assessments. The target audience includes administrators, DAO members, founding organizations, and builders. The project will disseminate its findings through PDF reports shared on Singularity Net's Discord, forums, Telegram channels, and Townhall. Workshops will be recorded and shared on YouTube.

The project is divided into four milestones: Research, Analysis, Report Publishing, and Workshops, with a total budget of $41,998. The main risk is that recommendations may not be implemented, but the team plans to engage stakeholders, provide actionable recommendations, and track implementation progress to mitigate this risk.

Dominik Tilman

Project owner

Unique Knowledge Graph for Source and Content Reliability

TrustLevel proposes a comprehensive solution to assess the reliability and objectivity of textual information across various domains. Their approach involves integrating diverse data sources, structured knowledge graph development, and multifaceted analysis. By doing so, they aim to provide users with a powerful tool for evaluating text objectivity.

The project consists of several key components, including sentiment analysis, named entity recognition, clickbait detection, source reputation analysis, and the creation of a structured knowledge graph. Users will have access to a query interface that allows them to interact with the knowledge graph and perform complex analyses.

TrustLevel outlines a detailed budget breakdown for the project, divided into five milestones, spanning 14 weeks. Each milestone focuses on specific aspects of the project, such as system architecture design, knowledge graph development, text analysis integration, query interface development, and final documentation.

To mitigate potential risks, TrustLevel emphasizes proactive communication, compatibility analysis, and alternative APIs/sources in case of technical challenges or data quality issues. They also provide optional tasks to ensure project completion even if the scope or timing becomes a concern.

Overall, TrustLevel's proposal demonstrates a well-structured plan to address the RFP's goals by leveraging a knowledge graph and various text analysis tools to assess text objectivity comprehensively.

Robert Haas

Project owner

Bringing Network Pharmacology to OpenCog Hyperon

Antecedens e.U. proposes a project aimed at developing a tool to integrate well-curated knowledge graphs from the field of network pharmacology into OpenCog Hyperon. This project serves multiple purposes, including supporting OpenCog Hyperon's language MeTTa and Probabilistic Logic Networks (PLN) development, contributing to SingularityNET's web3 initiative, and sharing insights with the Rejuve team in the biomedicine domain. The tool's goal is to enable the derivation of novel pharmacological relationships and hypotheses through OpenCog Hyperon's advanced querying and reasoning capabilities.

The project requests $40,000 in funding, aligning with RFP4's objective of integrating knowledge graphs with Large Language Models (LLMs). It aims to develop a Python package to retrieve, convert, and import up-to-date knowledge graphs from biomedicine, focusing on pharmacology, into OpenCog Hyperon. The project identifies several high-quality knowledge graph projects in biomedicine and plans to bring them into OpenCog Hyperon through this Python package.

The project outlines milestones, including a literature review, design discussions with MeTTa and PLN teams, implementation phases for integrating knowledge graphs, documentation, and finalization. Potential risks are identified, such as changes in MeTTa's API stability, unforeseen issues with knowledge graphs, and potential redundancies with Rejuve. Mitigations are proposed for each risk.

In summary, Antecedens e.U. aims to enhance OpenCog Hyperon's capabilities by integrating knowledge graphs from network pharmacology, contributing to SingularityNET's web3 initiative, and fostering collaboration in the biomedicine domain. The project requests $40,000 in funding to achieve these goals.

Anthony Oliko

Project owner

Phase 1 of Huggingface datasets library to SingularityNET Pipeline

Phase 1: Building the Hugging Face Datasets library to SingularityNET Pipeline Framework

In this phase, we propose to build the foundational framework for the Hugging Face Datasets library to the SingularityNET Pipeline. This pipeline will facilitate seamless integration and accessibility of Knowledge Graph Question Answer datasets via the Hugging Face Datasets library, providing an efficient interface for users to access and leverage these datasets for future AGI Integrations. The framework will serve as the backbone for the subsequent integration of specific datasets in Phase 2.

DeFiGraph – Knowledge Graph (KG) for DeFi

The proposal outlines the need for a DeFi Knowledge Graph (KG) to simplify and democratize access to decentralized finance (DeFi) data. It highlights the complexity of DeFi and the lack of user-friendly interfaces, making it difficult for users and developers to engage effectively. The project, called DeFiGraph, aims to create a KG that maps relationships between various DeFi entities, backed by Language Learning Models (LLMs) for natural language queries.

Key components include data collection, KG design, semantic mapping, graph database implementation, and an interactive user interface. The project's innovation lies in combining a KG with a user-friendly interface. It envisions a range of applications, from personalized DeFi bots to on-chain yield products and real-time credit scoring systems.

Stakeholders include L3A, Openmesh, MIT, and Neo4j consultants. The estimated budget is $40,000, allocated mainly to external consultants. Success metrics include milestone completion, data quality, user engagement, technical accuracy, and industry impact.

Milestone 1 focuses on data gathering, preprocessing, and infrastructure setup, involving data source identification, API integration, data normalization, and xNode deployment. Milestone 2 covers KG and model development over ten weeks.