Empowering Cardano Ecosystem with Tailored AI: Proposal for Developing Custom Trained Chatbots for 10 Cardano Native Projects

[GENERAL] Name and surname of main applicant

Captain Plutu

[GENERAL] Are you delivering this project as an individual or as an entity (whether formally incorporated or not)

Entity (Incorporated)

[GENERAL] Please specify how many months you expect your project to last (from 2-12 months)

10

[GENERAL] Please indicate if your proposal has been auto-translated into English from another language

No

[GENERAL] Summarize your solution to the problem (200-character limit including spaces)

Empowering Cardano's competitive edge in AI with the development of custom-trained chatbots, complete with a dedicated training panel for continuous training sessions, for ten Cardano projects.

[GENERAL] Does your project have any dependencies on other organizations, technical or otherwise?

Yes

[GENERAL] If YES, please describe what the dependency is and why you believe it is essential for your project’s delivery. If NO, please write “No dependencies.”

Relying on OpenAI's proven LLMs allows us to build and deliver high-quality, reliable custom-trained chatbots, focusing development efforts on user experience and optimization.

[GENERAL] Will your project’s output/s be fully open source?

No

[GENERAL] Please provide here more information on the open source status of your project outputs

The decision not to open source the custom-trained chatbots is driven by several strategic considerations:

Intellectual Property Protection: Keeping the chatbots proprietary safeguards the unique technology and intellectual investments, ensuring that the competitive advantages and innovations remain exclusive to us.

Commercial Viability: By maintaining proprietary control, we develop a sustainable business model around the development of custom-trained chatbots, enabling monetization through sales and licensing.

These reasons collectively support a business strategy focused on long-term growth.

[SOLUTION] Please describe your proposed solution

Custom-trained chatbots are built to offer tailored solutions that address specific needs and challenges within organizations, projects, or communities.

Description of the proposed solutions custom-trained chatbots provide:

Personalized User Interactions: Custom-trained chatbots are equipped with data specific to a particular project, enabling them to deliver highly relevant and personalized interactions.

Efficient Information Dissemination: By handling routine queries and providing information instantly, custom-trained chatbots significantly improve the efficiency of communication within communities. This frees up human resources for more complex tasks.

Scalability: As projects grow, so does the volume of information that their custom chatbots can process. Custom-trained chatbots scale effortlessly to meet increasing demands, making them a cost-effective solution. They offer 24/7 service, ensuring that users from different time zones are supported.

Continuous Learning and Improvement: These chatbots are programmed to learn from each interaction, enhancing their responses over time. This continuous learning ensures that the chatbots remain effective as the project evolves.

Custom Training Panel: We will provide a custom training portal where selected Ten Cardano projects can continuously train their chatbot with new information from their respective projects.

Check out Captain Lace, A custom trained chatbot in action here. This custom trained chatbot was developed for CardanoGPT on discord server as a proof-of-concept on custom trained chatbots.

Read more on Foreon chatbot here, A custom-trained chatbot developed for Foreon network and currently deployed on Telegram.

[IMPACT] Please define the positive impact your project will have on the wider Cardano community

Custom-trained chatbots will significantly enhance Cardano projects by streamlining information access and bolstering community engagement.

These chatbots offer personalized interactions, delivering tailored information and support that align with specific user needs. By automating routine inquiries, custom-trained chatbots free up resources and allow teams to focus on more complex issues.

[CAPABILITY & FEASIBILITY] 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?

Our capability to deliver custom trained chatbots to Ten (10) projects with high levels of trust and accountability is strongly supported by our established track record with Captain Lace, a custom trained chatbot successfully deployed for CardanoGPT.

Captain Lace serves as a proof of concept, demonstrating our expertise in developing and managing custom trained chatbots tailored to specific community needs.

To ensure the feasibility and effectiveness of our approach for multiple projects, we implement a robust validation process. This involves iterative development cycles where feedback from early deployments is used to refine and optimize the chatbots continuously. We conduct extensive testing phases to gather actionable insights and ensure the chatbots meet the specific requirements and expectations of different communities.

Furthermore, our development team has a proven track record of delivering functional AI products. This expertise is underscored by the recognition of our project, CardanoGPT as the fastest-growing AI project on Cardano, as featured on Cardanospot. (Read More Here)

[PROJECT MILESTONES] What are the key milestones you need to achieve in order to complete your project successfully?

Project Selection and Data Collection

Outputs: Select ten (10) Cardano projects that will benefit from custom trained chatbots through application submissions.

Gather all relevant data for chatbot training, including whitepapers, community FAQs, technical documentation, etc.

Acceptance Criteria: Comprehensive datasets are compiled and verified with project stakeholders to ensure accuracy.

Evidence: Documentation of selected projects, data sources, and data collection methods.

Training Data Preparation and Chatbot Training Session

Outputs: Convert the collected data into a trainable format and develop machine learning models to train the chatbots, ensuring they can accurately respond to project-specific queries.

Acceptance Criteria: Chatbots must demonstrate a high level of understanding and accuracy during internal tests, with functionalities tailored to specific projects.

Evidence: Training logs, model performance reports, and validation results.

Beta Deployment and User Feedback

Outputs: Deploy each chatbot on a beta platform for initial testing. Collect and analyze user feedback to refine and improve the chatbots.

Acceptance Criteria: Chatbots must function effectively in real-world settings, accurately handling queries and engaging users appropriately.

Evidence: Beta testing feedback reports, user interaction logs, and initial performance analytics.

Refinement and Final Deployment

Outputs: Refine chatbots based on beta feedback, optimizing response accuracy and interaction flows. Finalize and deploy chatbots across respective platforms.

Acceptance Criteria: Chatbots must meet predefined performance benchmarks and user satisfaction scores, and integrate seamlessly into their respective platforms.

Evidence: Deployment logs and final performance reports.

Marketing and Adoption Drive

Outputs: Implement a comprehensive marketing strategy to promote the custom-trained chatbots, highlighting the benefits of existing models such as improved efficiency and personalized support. Utilize various channels including social media and digital marketing to reach a broad audience.

Acceptance Criteria: Achieve targeted outreach and engagement metrics, with a significant increase in chatbot usage and positive reception.

Evidence: Reports from marketing campaigns, analytics on user engagement, and adoption rates.

Dedicated Training Portal

Outputs: Build a dedicated training portal for each of the whitelisted project to continually train their chatbots with new data.

Acceptance Criteria: Chatbots remain accurate, up-to-date, and responsive to community needs.

Evidence: Update schedules, maintenance logs, and user satisfaction tracking.

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

Captain Plutu - Project lead 

Sunny Kumar - Machine learning engineer 

Kunal Kaushal - Machine learning engineer 

Hector Gitt - Full stack engineer

Miguel - Smart contact engineer

Harsh Singh — Product Outreach Manager

[BUDGET & COSTS] Please provide a cost breakdown of the proposed work and resources

Data Collection and Sequencing

Details: Gather and structure data from each project for chatbot training.

Estimated Cost: 3,000 ADA for each chatbot.

Chatbot Development:

Details: Coding, integration of LLM, and setting up the server infrastructure for each chatbot.

Estimated Cost: 12,000 ADA for each chatbot.

Project Management:

Details: Coordination and management of each custom trained chatbot development, including regular updates and meetings.

Estimated Cost: 4,000 ADA per project.

Quality Assurance and Testing:

Details: Extensive testing of each custom trained chatbot to ensure functionality and reliability.

Estimated Cost: 4,000 ADA per project.

Branding and Marketing:

Details: Design of marketing materials, including digital ads, press releases, promotional videos, and informational content. Campaigns across social media and banner marketing to promote custom trained chatbot adoption among the Cardano community.

Estimated Cost: 45,000 ADA.

Total Requested Funding: 275,000 ADA.

[VALUE FOR MONEY] How does the cost of the project represent value for money for the Cardano ecosystem?

Investing in custom-trained chatbots for Cardano projects offers several advantages:

Enhances community engagement by providing tailored user interactions, boosts operational efficiency by automating routine tasks, and increases marketing and visibility, promoting both the chatbots and the associated Cardano projects.

This multifaceted approach not only improves project operations but also encourages broader adoption and interest in the Cardano ecosystem.