Please describe your proposed solution

Our Solution:

We develop a user-friendly web application that integrates diverse Cardano-based data sources. The application enables users to access detailed sentiment reports on various projects and topics within the Cardano ecosystem. The platform will provide valuable insights into market sentiment, aiding decision-making processes for investors, developers, and stakeholders.

Key Features:

1. Advanced Sentiment Analysis:
2. Utilize state-of-the-art Artificial Intelligence sentiment models to accurately process and analyze large volumes of data from multiple sources, including social media platforms (Twitter, Reddit), news outlets, blogs, and forums.
3. Implement a robust data pipeline to efficiently collect, preprocess, and store data for real-time and historical analysis.
4. Customizable Keyword Filtering:
5. Incorporate an intuitive keyword filtering feature that allows users to tailor the sentiment analysis to their specific interests, such as particular projects, tokens, or topics within the Cardano ecosystem.
6. Enable users to create and save personalized dashboards with their preferred keyword filters for quick access to relevant sentiment data.
7. Transparent Scoring Methodology:
8. Develop a transparent and explainable scoring system that provides users with a clear understanding of how sentiment scores are calculated.
9. Offer detailed insights into the contributing factors behind sentiment scores, including the influence of different data sources, sentiment trends over time, and key events or news that impact market sentiment.
10. Interactive Data Visualization:
11. Present sentiment data through visually appealing and interactive dashboards featuring charts, graphs, and heatmaps that facilitate easy interpretation of sentiment trends and patterns.
12. Allow users to drill down into specific data points, view sentiment breakdowns by source or keyword, and compare sentiment across different projects or time periods.

Prototype and demonstrations:

We have developed a functional prototype of our Cardano AI Sentiment Tracker, which showcases the core features and capabilities of our proposed platform.

You can explore our prototype here: Cardano AI Sentiment Tracker

To demonstrate the effectiveness and potential of our sentiment tracker, we have released a series of demos:

• <https://twitter.com/unboundedmarket/status/1747029256100618285>
• <https://twitter.com/unboundedmarket/status/1748404086309871656>
• <https://twitter.com/unboundedmarket/status/1750207142726975865>

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

The Cardano AI Sentiment Tracker will provide several significant benefits to the Cardano community, including:

• Improving informed decision-making for traders and investors by offering insights into market sentiment on different topics and projects in the Cardano ecosystem
• Enabling users to customize the sentiment analysis by filtering topic-specific keywords, leading to tailored investment strategies
• Encouraging the growth and development of the Cardano market by enabling data-driven decision-making among community members
• Adding trust and transparency through the disclosure of computation methodologies behind sentiment scores
• Attracting new users and investors to the Cardano platform as the sentiment tracker adds another layer of strategic analysis to the growing Cardano 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?

<u>Team Capabilities:</u>

Our team consists of four AI experts and blockchain enthusiasts with proven track records in academia and crypto development and up to 8 years of experience in relevant fields. Our work-philosophy is best described by:

Open: Achievements and work artifacts are open-sourced and published on a regular basis.

Transparent: Using clear documentation and academic rigor, we build trust and accountability. Whenever appropriate, we are happy to discuss our work with the academic community at top-tier blockchain and AI conferences around the globe.

Collaborative: Through collaboration with established industry-peers from our earlier blockchain ventures, we gain regular feedback to continuously improve and adjust where required.

<u>Prototype Availability:</u>

Additionally, we have already released a functional prototype of our Cardano AI Sentiment Tracker, available here: Cardano AI Sentiment Tracker

You can explore several demos of our protoype:

• <https://twitter.com/unboundedmarket/status/1747029256100618285>
• <https://twitter.com/unboundedmarket/status/1748404086309871656>
• <https://twitter.com/unboundedmarket/status/1750207142726975865>

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

Milestone 1: <u>Initial Planning and Research</u>

Outputs:

• Identify and evaluate potential data sources (News, Twitter, etc.) for reliability and relevance
• Conduct research into relevant machine learning models suitable for sentiment analysis
• Conduct comprehensive market research and analysis
• Formulate a detailed project plan

Acceptance Criteria:

The final report covers all important aspects of the outputs, including:

• Documentation of the relevant data sources
• A section on market research and analysis
• A detailed project plan

Evidence of Milestone Completion:

• A detailed report summarizing all outputs

Milestone 2: <u>Development and Integration</u>

Outputs:

• Integrate selected data sources
• Improve keyword filtering algorithms to process data efficiently
• Add various sentiment scoring methodologies to analyze text data
• Start development of a web-based application interface
• Conduct initial testing of data processing and fine-tuning of ML models

Acceptance Criteria:

• The report provides evidence for the integration of selected data sources, the keyword filtering algorithm, and sentiment scores
• The video shows the prototype of the web-based application interface
• The sentiment models are available in an open-source GitHub repository

Evidence of Milestone Completion:

• A report summarizing the outputs
• Video showing the prototype of the web-based application interface
• Open-source GitHub repository containing the sentiment models

Milestone 3: Refinement and Testing

Outputs:

• Continue to develop a user-friendly interface
• Conduct thorough testing of the entire system
• Refine ML models and algorithms based on testing feedback
• Develop documentation and user guides

Acceptance Criteria:

• The video shows evidence of the updated and improved user interface
• The report provides evidence for the extensive tests conducted on the sentiment models, the user interface, documentation, and user guides

Evidence of Milestone Completion:

• A report summarizing the outputs
• A video showing the improved web-based application interface prototype

Final Milestone: Launch and Post-Launch Activities

Outputs:

• Finalize code
• Official launch, accompanied by a marketing and community outreach
• Monitor performance and user feedback
• Ongoing support to address issues or bugs
• Regular updates and feature enhancements

Acceptance Criteria:

• The platform is live and works as expected.
• There is evidence of community outreach in the form of social media posts and feedback forms.
• The project closeout video and report summarize all stages of the project.

Evidence:

• Link to the final platform
• Project closeout video and report

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

Timo is a visionary entrepreneur with a deep expertise in robotics, artificial intelligence, and cloud engineering. He holds a Master’s degree in Robotics with a focus on AI applications and co-founded an AI-driven agricultural startup. Timo has published his work at a major conference, demonstrating his ability to merge academic research with real-world solutions. Timo is driven by his passion to unlock the pioneering potential in bringing AI solutions to the blockchain.

Samy is a professional with five years of blockchain development experience and nearly eight years in AI and machine learning. As a developer and researcher, Samy has worked on several DeFi protocols and published peer-reviewed articles in top-tier AI journals and conferences.

Chris is a seasoned software developer and entrepreneur, boasting over four years of specialized experience in blockchain and AI technologies. His in-depth research in AI and blockchain testifies his comprehensive knowledge of the DeFi ecosystem, establishing him as a knowledgeable figure within the community.

Phil is a former AI &amp; Data scientist with a proven academic track record and several years of industrial experience. His professional career revolved around the robotics industry, where he successfully demonstrated the use of AI to tackle challenging problems. As a crypto-enthusiast, he now seeks to contribute to the next wave of blockchain innovation.

Please provide a cost breakdown of the proposed work and resources

Research and Planning (25,000 ADA)

• Identification and evaluation of relevant data sources
• Research into state-of-the-art Machine Learning models for sentiment analysis
• Initial prototype design and architecture planning

Data Integration and Backend Development (40,000 ADA)

• Integration of selected data sources into the platform:
• Implementation of data collection, preprocessing, and storage pipelines
• Development of sentiment analysis models and keyword filtering functionality
• Implementation of sentiment scoring methodology

Web Application Development (30,000 ADA)

• Frontend web application development
• Integration of backend API with the frontend user interface
• Development of interactive data visualization components and dashboards
• Implementation of user authentication and personalization features

Testing and Refinement (12,000 ADA)

• Comprehensive testing of the entire platform (backend and frontend)
• Bug fixing and performance optimization
• User acceptance testing and feedback incorporation

Documentation and Deployment (6,000 ADA)

• Creation of user documentation and guides
• Development of API documentation for third-party integration
• Deployment of the platform to production environment

Initial Support and Maintenance (8,000 ADA)

• Providing initial technical support to users
• Monitoring and maintaining the platform's performance and availability
• Addressing any immediate issues or bugs post-deployment

Reserve for unseen costs (5,000 ADA)

Total Budget: 126,000 ADA

No dependencies.

How does the cost of the project represent value for money for the Cardano ecosystem?

Investing 126,000 ADA in the Cardano AI Sentiment Tracker provides significant value for the Cardano community by:

• Providing traders and investors with insights will result in more informed decision-making, improved investment outcomes, and potentially increased adoption of the Cardano platform.
• Saving time and resources for users who would otherwise need to manually research and analyze market sentiment across various fragmented data source.
• Building trust and confidence within the Cardano community by offering a transparent, data-driven solution.
• Adding to the growth of the Cardano ecosystem by providing a unique and valuable service specific to its community, setting it apart from other chains.