Last updated 8 months ago

Cardano KnowledgeHub – A RAG-Powered AI for Ecosystem Growth

Problem

Fragmented Catalyst resources hinder access, search, and learning, limiting onboarding, collaboration, and lasting impact

Solution

Build a RAG AI chatbot to centralize Catalyst resources, enabling easy search and timely responses to redundant questions, learning, onboarding, and collaboration

Total to date

This is the total amount allocated to Cardano KnowledgeHub – A RAG-Powered AI for Ecosystem Growth.

30,000 $ADA
Total funds requested
79
Total votes cast
6.57M
Votes yes
5.55M
Votes abstain

About this idea

Team

[RESOURCES] Who is in the project team and what are their roles?

Answer:

Team Members and Roles:

Anokye James Yaw – Lead Developer

LinkedIn: https://www.linkedin.com/in/jamesanokye/

Role: Responsible for leading the overall project development, including backend architecture, AI integration, and ensuring smooth collaboration among team members.

Paa Kojo Effah Annan – Frontend Developer

LinkedIn: https://www.linkedin.com/in/paa-kojo-effah-annan-725b2717a/

Role: Developing the frontend interface, ensuring responsiveness and user-friendly interactions across devices.

Lawrence Keklem Yevudza – UI/UX Designer

LinkedIn: https://www.linkedin.com/in/lawrence-yevudza/

Role: Designing intuitive user interfaces and user experiences, creating wireframes, and ensuring the visual design aligns with the project objectives.

Essel Jimmy Kodwo – AI Model Trainer

LinkedIn: https://www.linkedin.com/in/jimmykodwoessel/

Role: Leading the AI development, training models for natural language processing and fine-tuning the AI engine for accuracy in responses related to Cardano.

Emmanuel Adzi-Tay – Backend Developer

LinkedIn: https://www.linkedin.com/in/emmanueladzi-tay/

Role: Implementing server-side logic, managing databases, and integrating the platform with Cardano resources and APIs.

Future Recruitment:

We may consider additional recruitment for:

DevOps Specialist to handle deployment and scaling of the platform.

AI/NLP Experts to further refine the AI's capabilities.

Community Manager to engage users and collect feedback during the beta phase.

Engagement with Resources:

We have established communication with the necessary technical groups on Discord and other platforms. All team members are fully committed to the project and will engage with the Cardano community to ensure timely execution.

This team structure and collaboration demonstrate our capability to deliver the project successfully.