Last updated 6 months ago
Cardano lacks a connected, AI-powered knowledge base, forcing developers and the community to waste time searching scattered sources instead of building and innovating.
We will build CardanoKB, an AI-powered knowledge graph with LLMs that unifies Cardano information, enabling developers and the community to easily access, learn, and innovate.
This is the total amount allocated to Smart Contracts + Knowledge Graph + LLMs.
Please provide your proposal title
Smart Contracts + Knowledge Graph + LLMs
Enter the amount of funding you are requesting in ADA
60000
Please specify how many months you expect your project to last
7
Please indicate if your proposal has been auto-translated
No
Original Language
en
What is the problem you want to solve?
Cardano lacks a connected, AI-powered knowledge base, forcing developers and the community to waste time searching scattered sources instead of building and innovating.
Supporting links
Does your project have any dependencies on other organizations, technical or otherwise?
No
Describe any dependencies or write 'No dependencies'
No dependencies
Will your project's outputs be fully open source?
No
License and Additional Information
The Project will be made available under the MIT License, providing full transparency and allowing developers the freedom to utilize, alter, and share the code without limitations. This code will be hosted on GitHub, offering a clear and open platform for collaboration and engaging the community.
Please choose the most relevant theme and tag related to the outcomes of your proposal.
Sustainability
Describe what makes your idea innovative compared to what has been previously funded (whether by you or others).
Unlike previous projects that produced isolated tools, docs, or explorers, our solution unifies the Cardano ecosystem into a connected knowledge graph enhanced by LLMs. This allows natural language queries that fetch context-aware insights from structured data, making Cardano knowledge interactive rather than static. It goes beyond simple documentation or education by creating an AI-powered knowledge infrastructure that continuously evolves, lowering entry barriers for developers, educators, and the community.
Describe what your prototype or MVP will demonstrate, and where it can be accessed.
Our MVP will demonstrate an interactive knowledge platform where users can ask natural language questions and receive accurate, context-aware answers drawn from a Cardano knowledge graph integrated with LLMs. It will showcase unified access to fragmented Cardano data, highlighting benefits for developers, educators, and the wider community. The prototype will be publicly accessible via a web interface and GitHub repository, ensuring transparency, community testing, and open-source collaboration from the start.
Describe realistic measures of success, ideally with on-chain metrics.
Success will be measured by community adoption and developer impact. Key metrics include: number of unique users interacting with the MVP, queries processed through the knowledge graph + LLM, and growth in returning users. On-chain success can be tracked by the number of smart contracts, dApps, or governance proposals that reference or link to CardanoKB outputs. Additional measures include feedback from community testing, open-source contributions on GitHub, and participation in workshops/webinars.
Please describe your proposed solution and how it addresses the problem
Our proposed solution, "CardanoKB: Cardano + Knowledge Graph + LLM," addresses the challenge of fragmented and inaccessible information within the Cardano ecosystem. This complexity creates barriers for effective engagement and innovation, particularly for new developers and users unfamiliar with blockchain intricacies.
The Knowledge Graph will serve as a repository that captures and organizes information in an interconnected network, making the data more accessible and useful. The integration with an LLM will allow users to interact with this data through natural language queries. This means that users can ask complex questions in plain language and receive accurate, context-aware answers generated by the LLM, which will fetch and interpret the relevant data from the Knowledge Graph.
Perception of the Problem:
We recognize that the vast and growing body of knowledge around Cardano is scattered across multiple platforms and formats, making it difficult for users to find, understand, and use this information effectively. This fragmentation hampers the ability of developers to innovate and slows the adoption curve for potential Cardano users and investors.
Approach:
We are proposing a two-pronged approach:
Knowledge Graph: This will serve as a structured database that organizes and links information contextually, providing a more intuitive way of navigating Cardano-related data.
Large Language Model (LLM): Integrated with the knowledge graph, the LLM will enable natural language querying, making the platform accessible to those without deep technical knowledge.
Target Audience:
Developers: New and existing developers looking for technical details and development resources.
Educators and Students: Academic stakeholders interested in blockchain technology.
General Public: Newcomers and enthusiasts who wish to learn about Cardano’s blockchain.
Demonstrating Impact:
We will measure the impact of our solution through:
User Engagement Metrics: Tracking the usage statistics, user retention rates, and growth in user numbers.
Feedback Mechanisms: Implementing regular surveys and feedback forms to gather user impressions and improvement suggestions.
Community Involvement: Hosting webinars and participatory sessions to educate and gather input from the Cardano community.
Uniqueness and Benefits:
Our solution is unique because it merges structured data handling with advanced natural language processing, tailored specifically for the Cardano ecosystem. This dual approach not only simplifies information retrieval but also enhances the comprehensibility of the information retrieved.
Developers will benefit from reduced time searching for information and more time innovating on the Cardano platform.
Educators and students will find it easier to incorporate Cardano into curricula and research, fostering a better understanding of blockchain technology.
The general public will gain a gateway to understanding Cardano that lowers the entry barrier to blockchain technology.
Importance to Cardano:
"CardanoKB" aligns with Cardano's goals of scalability, interoperability, and sustainability by ensuring that the ecosystem's knowledge base is robust, easily navigable, and future-proof. By enhancing how information is accessed and utilized, our project will facilitate wider adoption and deeper engagement with the Cardano blockchain, contributing to its overall growth and development. This is not just a tool for information access; it's a platform for community empowerment and innovation.
The primary components of the solution are:
Data Collection: Aggregating data from various sources related to the Cardano ecosystem.
Knowledge Graph Construction: Organizing the collected data into a structured graph that represents relationships and connections between different types of information.
LLM Integration: LLm to understand and generate human-like responses based on the data within the Knowledge Graph.
User Interface: Creating an easy-to-use interface where users can input their queries and receive information.
This solution aims to make the wealth of information in the Cardano ecosystem more accessible and understandable, thereby lowering the barrier to entry and fostering a more inclusive community.
Please define the positive impact your project will have on the wider Cardano community
The positive impact of our project on the wider Cardano community includes:
Our project, "CardanoKB: Cardano + Knowledge Graph + LLM," is poised to have a transformative impact on the wider Cardano community by significantly enhancing accessibility, understanding, and engagement with the Cardano blockchain. Here are the key benefits it aims to deliver:
Enhanced User Experience: By providing a user-friendly interface where community members can ask questions and receive clear, accurate answers, we reduce the complexity associated with blockchain technology. This improvement in user experience can help both newcomers and seasoned users navigate the Cardano ecosystem more effectively.
Increased Adoption: Simplifying access to information about Cardano can encourage more developers, investors, and enthusiasts to engage with the platform. As users find it easier to obtain the information they need, the likelihood of their long-term involvement and investment in the ecosystem increases.
Support for Developers: Developers particularly stand to benefit from this project, as they can quickly find technical details and resources that are otherwise scattered across various platforms. This can decrease development time and stimulate innovation, leading to more applications and improvements on the Cardano blockchain.
Informed Decision-Making: With better access to comprehensive and digestible information, all stakeholders in the Cardano community can make more informed decisions regarding governance, investments, and participation in various initiatives.
Community Growth and Cohesion: As more individuals understand and utilize the blockchain effectively, the Cardano community will likely grow more cohesive and robust. This project supports the ethos of open collaboration and shared knowledge that is vital for the success of decentralized communities.
Our project "CardanoKB: Cardano + Knowledge Graph + LLM" is designed to significantly enhance the Cardano community's ability to access and utilize information, which is crucial for fostering innovation, education, and growth within the ecosystem.
What is your capability to deliver your project with high levels of trust and accountability? How do you intend to validate if your approach is feasible?
The feasibility and capability to deliver our project with high levels of trust and accountability includes:
Capability to Deliver with Trust and Accountability
Team Experience and Expertise:
Our project team consists of experts with significant experience in blockchain development, machine learning, Knowledge graph development, software engineering, and project management, specifically within the Cardano ecosystem. This expertise ensures that we are well-equipped to handle the technical and organizational demands of the project.
Track Record
Our project team brings a proven track record in successfully delivering blockchain projects. At the forefront of our accomplishments is our notable participation in a Cardano Catalyst projects.
Dedicated Development Excellence
Each member of our team brings a unique set of skills and experiences to the table. As developers, we have contributed significantly to Catalyst-funded projects, "Cardano for 100,000 students", "Universal DevTools for Real-time Tracking for 45%+ of Global Websites Support" showcasing our dedication to excellence and our capacity to deliver high-quality results. Our collective experience extends beyond Catalyst initiatives, encompassing a diverse range of blockchain projects within esteemed high-tech organizations.
Community Involvement and Expertise
Our project team not only boasts significant technical experience but also a deep engagement with the Cardano community. We have been integral in organizing and leading seminars and meetups focused on blockchain and Cardano, enhancing community cohesion and knowledge sharing. These activities demonstrate our commitment to the Cardano ecosystem and our ability to mobilize and educate the community effectively.
Cardano Education Program At Addis Abeba Science And Technology University (AASTU):
Certified Expertise
Our project team's credentials are further reinforced by certifications in blockchain development and machine learning. These certifications are not just titles but represent a deep, verified proficiency and up-to-date knowledge in these critical areas, essential for the sophisticated technological integration planned for our platform.
Active Community Participation
Beyond technical skills, our team actively participates in the blockchain community. This involvement ranges from contributing to forums and discussions to leading workshops and seminars that educate and inspire new developers. This continuous engagement has kept our team at the forefront of community needs and technological trends, which is crucial for the success of any community-focused project. Ethiopian Blockchain Network: web3 hub for Ethiopian. Education, Innovative and Advocacy.
Meetups with professional blockchain developers:
Collaboration with Local and Global Organizations: Microsoft for Startups Founders Hub
20240504_094854-b989b6.jpg
We are also partners with Emurgo Academy, Smart Blocks, and Ethiopian Blockchain Network serving as their ambassadors.
We will address technical complexity with our team's expertise, manage resources efficiently, prioritize data security, enhance adoption with user-friendly design, ensure regulatory compliance, plan for scalability, and ensure seamless integration with existing systems.
Validating Feasibility of the Approach
Iterative Development and Pilot Testing
Performance Metrics and Continuous Evaluation
Technical Feasibility:The project demonstrates strong technical feasibility. Our team consists of experts in blockchain development, software engineering, and machine learning, ensuring we have the necessary skills for success.
Budget Contingency Planning:Regarding budget contingency planning, we have allocated a contingency fund to address unforeseen expenses or changes in project scope.
our team has identified potential risks and developed mitigation strategies, ensuring proactive management of challenges. We are committed to regular progress updates, fostering transparency and accountability throughout the project. Our agile development approach allows for flexibility in responding to emerging needs, ensuring timely and effective project delivery.
The project plan has been meticulously designed with clear, achievable milestones, focusing sequentially on system design, backend and frontend development, testing, and final adjustments before the official launch. The team consists of experienced blockchain and machine learning developers, data scientists, and project managers who have previously worked on similar projects involving complex data systems and user interface design. The technical approach uses LLMs, which enhances the feasibility of the project and has good value for money.
To address potential risks and challenges:
Risk Management: To address potential challenges and mitigate risks, we have developed a comprehensive risk management plan. This plan outlines key risks such as technical challenges, regulatory changes, and market fluctuations, along with corresponding mitigation strategies. By proactively identifying and addressing these risks, we aim to ensure the successful execution of our project even in the face of unforeseen obstacles.
Community Engagement: We recognize the importance of community engagement in driving the success of our project. To enhance community involvement, we will implement various strategies such as regular updates through community forums, feedback collection mechanisms, and interactive webinars. By actively involving the community in decision-making processes, we aim to foster a sense of ownership and belonging among developers.
Scalability: Our project includes a robust scalability plan to accommodate a growing user base and evolving technology landscape. This plan involves the use of scalable infrastructure and technologies, as well as continuous monitoring and optimization to ensure the platform remains relevant and effective in the long term.
Partnerships: We are actively seeking partnerships and collaborations that can enhance the success of our project. These partnerships include local and global blockchain institutions, industry experts, educational institutions, and other organizations that can provide valuable resources, expertise, and support.
User Acquisition and Retention: To attract and retain users, we have developed a comprehensive user acquisition and retention strategy. This strategy includes targeted marketing campaigns, incentive programs, and partnerships with developer communities to ensure the platform's long-term success.
Budget Justification: Our budget has been carefully considered and is supported by a detailed breakdown of expenses. Each expense has been justified based on its importance to the project's success, ensuring that the budget is realistic and well-considered.
By incorporating these elements into our project proposal, we aim to increase its feasibility and demonstrate our commitment to delivering a successful project.
Milestone Title
Research & Data Collection
Milestone Outputs
A comprehensive research document outlining the system architecture, including frontend–backend interactions, and a curated dataset of diverse Cardano-related sources for the knowledge graph. This will ensure the foundation is robust and ready for implementation.
Acceptance Criteria
A finalized system design document published in GitHub, covering workflows, data pipelines, and integration points. At least 5–7 Cardano sources are aggregated, cleaned, and structured for use in the graph. The dataset must be varied (docs, forum posts, Cardano Explorer data, etc.) and accessible.
Evidence of Completion
A GitHub repository containing the architecture documentation, sample dataset files, and a readme explaining collection methods. A public Catalyst forum post summarizing research progress, methodology, and how sources will be maintained long-term.
Delivery Month
1
Cost
10000
Progress
20 %
Milestone Title
Frontend Development
Milestone Outputs
A functional frontend that provides an intuitive, user-friendly experience for interacting with the knowledge graph and LLM. It will feature a query input box, results display, and responsive design accessible across desktop and mobile.
Acceptance Criteria
The frontend must allow any user to input natural language queries and display structured outputs, even if using placeholder data. UI/UX must be responsive, follow accessibility standards, and provide smooth navigation. Initial user testing should confirm ease of use and quick response times.
Evidence of Completion
A deployed web version accessible for community testers, with GitHub commits showing frontend development history. Screenshots, demo video walkthrough, and feedback forms from at least 10 early testers demonstrating usability of the interface.
Delivery Month
3
Cost
15000
Progress
40 %
Milestone Title
Knowledge Graph & LLM Integration and Completion Report & Video
Milestone Outputs
A populated knowledge graph linked with an integrated LLM, enabling accurate query responses. The backend will support ingestion, processing, and API endpoints for frontend interaction. At this stage, the system transitions from prototype UI to a functional AI-driven tool.
Acceptance Criteria
The integrated system must handle at least 100 sample queries across Cardano topics, producing contextually relevant answers. The backend must ingest live Cardano data and process updates. Accuracy and latency benchmarks will be recorded, with an expectation of >80% meaningful responses.
Evidence of Completion
GitHub repository updated with backend code, sample query logs, and integration reports. A technical document demonstrating KG–LLM integration performance, along with a short video demo showing complex queries being answered in real time.
Project close out video and report.
Delivery Month
5
Cost
20000
Progress
70 %
Milestone Title
Beta Testing & Refinement
Milestone Outputs
A beta version released to selected Cardano community members, enabling real-world testing of the system. The release will include a functional frontend, integrated backend, and structured user-testing process to capture feedback.
Acceptance Criteria
At least 20 active testers provide feedback on usability, query accuracy, and performance. Identified issues will be logged publicly, with a documented resolution rate of >70%. Improvements should include increased accuracy and reduced latency compared to initial tests.
Evidence of Completion
Beta release accessible on a live web address, community tester feedback reports, GitHub issue tracker logs, and updated documentation. A summary report detailing major refinements and a video demo showing the system improvements based on tester input.
Delivery Month
7
Cost
15000
Progress
100 %
Please provide a cost breakdown of the proposed work and resources
M1 – Research & Data Collection (₳10,000)
Data scientists & architects for system design and dataset preparation.
Tools for data aggregation, cleaning, and structuring.
Deliverables: System architecture docs + curated Cardano dataset.
M2 – Frontend Development (₳15,000)
Frontend developers & UI/UX designers.
Tools and frameworks for responsive design and user testing.
Deliverables: Functional web interface with natural language query input/output.
M3 – Knowledge Graph & LLM Integration (₳20,000)
Backend developers & ML engineers.
Resources: Graph database setup, LLM integration, server infrastructure.
Deliverables: Populated KG, integrated backend, live query handling.
M4 – Beta Testing & Refinement (₳15,000)
QA/testers & developers for bug fixes, optimizations, and improvements.
Community engagement, beta hosting, issue tracking.
Deliverables: Public beta release, feedback-driven refinements, improved accuracy & speed.Project Closeout:
Reporting & video covered within milestone allocations.
Deliverables: Final report, documentation, and project demo video.
How does the cost of the project represent value for the Cardano ecosystem?
Investing in the development of an Automated Testing Framework for Cardano Smart Contracts is a strategic decision that offers significant returns for the Cardano ecosystem. The project's costs are carefully planned and justified based on industry standards and best practices, ensuring that funds are utilized efficiently to deliver maximum value. Below, we outline how the project's cost represents excellent value for money without disclosing specific budget numbers.
Value Proposition for the Cardano Ecosystem
Enhancing Smart Contract Security and Reliability
Reduced Risks: By providing tools to identify and fix bugs and vulnerabilities before deployment, the framework significantly reduces the risk of smart contract failures and security breaches.
Increased Trust: More reliable smart contracts enhance user confidence in the Cardano platform, promoting greater adoption and use of Cardano-based applications.
Boosting Developer Productivity
Efficiency Gains: Automated testing streamlines the development process, allowing developers to focus on innovation and feature development rather than manual testing.
Lowering Barriers to Entry: Simplifies the development workflow, making it more accessible for new developers to join and contribute to the Cardano ecosystem.
Fostering Ecosystem Growth
Attracting Talent: High-quality development tools attract developers from other platforms, enriching the Cardano developer community with diverse skills and perspectives.
Accelerating Innovation: Facilitates the rapid development of secure and reliable decentralized applications (DApps), expanding the ecosystem and its offerings.
Educational Impact
Learning Resource: Serves as a valuable tool for educational institutions and training programs, helping to educate the next generation of blockchain developers.
Promoting Best Practices: Encourages a culture of thorough testing and code quality within the community, leading to overall improvements in the ecosystem.
Industry Benchmarks and Comparisons
Comparable Projects:
Similar testing frameworks in other blockchain ecosystems have required substantial investment due to their complexity and the significant impact they have on code quality and security.
These frameworks have proven essential in their respective ecosystems, justifying the costs through enhanced security and developer efficiency.
Cost Efficiency:
Average Development Costs: Developing specialized software tools in the blockchain domain typically involves considerable expenses. Our project is budgeted to maximize value while keeping costs reasonable and justified.
Competitive Compensation: Aligning team compensation with industry standards ensures that we attract skilled professionals necessary for the project's success without incurring excessive costs.
Long-Term Benefits
Sustainability:
The open-source nature of the project ensures ongoing benefits to the Cardano community without the need for continuous funding.
Community contributions and collaborations will help maintain and improve the framework over time.
Foundation for Future Development:
The framework can serve as a base for future enhancements and additional tools, amplifying the initial investment's impact and fostering continuous innovation.
Community Empowerment:
By fostering collaboration and knowledge sharing, the project contributes to a stronger, more resilient Cardano ecosystem, empowering developers and users alike.
Conclusion
The investment in the Automated Testing Framework for Cardano Smart Contracts represents excellent value for money for the Cardano ecosystem. The project's costs are carefully justified and allocated to deliver maximum impact through:
Improving Security and Reliability:
Enhancing the quality and trustworthiness of smart contracts deployed on Cardano, which is crucial for user trust and adoption.
Increasing Developer Efficiency:
Streamlining the development process and promoting best practices, which accelerates project timelines and reduces costs in the long term.
Stimulating Ecosystem Growth:
Attracting new developers and encouraging the creation of innovative DApps, which expands the ecosystem and its user base.
Providing Educational Resources:
Supporting learning and skill development within the community, which has lasting benefits for the ecosystem's sustainability and growth.
By funding this project, the Cardano community is making a strategic investment in its own growth, security, and competitiveness in the blockchain space. The benefits of a more secure, efficient, and vibrant ecosystem will far outweigh the initial costs, making this project a valuable addition to Cardano's ongoing development.
We are committed to delivering exceptional value and maximizing the return on this investment through diligent management, transparency, and a relentless focus on quality and impact. Our team's expertise and dedication ensure that the project will be executed efficiently, providing tools that will serve the Cardano community for years to come.
Final Note
The cost of this project is not merely an expense but an investment into the foundational infrastructure of the Cardano ecosystem. By enabling developers to create more secure and reliable smart contracts, we are collectively enhancing the platform's reputation, usability, and attractiveness to new users and developers. This investment will pay dividends in the form of increased adoption, innovation, and overall ecosystem health.
Terms and Conditions:
Yes
1: Eyasu Birhanu : Software developer | Certified Cardano Smart Contract Developer | Lead Developer
Experienced in programming languages such as Plutus, Haskell, Lucid, Mesh and Marlowe to build and deploy smart contracts.
Experienced in Cardano blockchain-based projects such as stablecoin development (Cogito), real-world asset marketplace, education platforms for the Cardano blockchain, and payment gateways.
Cardano Blockchain Certified Associate (CBCA) Certificate 649c48006b7c38011005aeae
Currently working at SingularityNet.io.
Email: eyasu.birhanu@singularitynet.io
Cardano Blockchain Education Ambassador @Emurgo Smartblock.
Cardano Blockchain community builder.
Responsible for smart contracts and blockchain related technology's.
LinkedIn Profile: https://www.linkedin.com/in/eyasu-birhanu-4665701a3/
2: Dawit Melka- Software Engineer | Biomedical Engineer | AGI Research | Competitive Programmer @ A2SV | AURA Research @ UMICH | Full-stack Web Developer
Experienced in knowledge graph development, importing and processing data into knowledge graphs, and integrating them with large language models (LLMs).
Research Assistant Intern @ University of Michigan
LinkedIn Profile: https://www.linkedin.com/in/dawit-melka/
Experience
Mobile application development
Web application development
Software Engineer
Research Assistant
A2SV | Africa to Silicon Valley
3: Wendwossen Dufera: Software developer | Web3 developer | AGI researcher
Certified Software and Web3 developer.
Experienced in knowledge graph development, converting natural language to knowledge graphs, and transforming knowledge graph query outputs into natural language using large language models (LLMs).
Github: https://github.com/wendecoder
4: Lemi Debela: Machine Learning Engineer
Experience in computer Vision, Natural Language Processing, and Complete Data Science workflow. have successfully built and deployed ML models.
Linkedin: https://www.linkedin.com/in/lemi-debela/
Github: https://github.com/ldebele
Responsible for AI related tasks.
5: Nahom Senay - Backend Developer | Software Engineering Student | Blockchain Developer
Certified Cardano Blockchain developer
Linkedin: linkedin profile
Github: github account
6: Tibebe Solomon - Experienced Full stack web Developer | UX/UI Designer
Github: https://github.com/ldebele
Responsible for Web related tasks.
Licenses & certifications
AWS Certified Cloud Practitioner
User Experience Design: Demonstrates responsibility for creating intuitive and visually appealing user experiences.
UI Design Proficiency: Proficient in applying user interface design principles and user-centered design methodologies.
Interface Design Experience: Experienced in designing engaging and user-friendly interfaces for mobile and web applications.
Our team has actively participated in numerous projects closely related to this endeavor. Each team member is fully committed to executing this idea, drawing from our collective experience in implementing similar projects to a high standard of excellence