Please describe your proposed solution

We propose to develop Cardano Insight, a user-friendly web application that enables users to analyze Cardano projects using advanced data and AI tools. The platform integrates various Cardano-based data sources and offers a suite of AI models and analytical tools designed to provide in-depth insights into projects within the Cardano ecosystem.

The core of the platform is a variety of tools, to analyze different types of data, such as social media posts, or white papers.

1. Tools for Advanced AI Analysis

• Sentiment Analysis: Evaluates the emotional tone of social media posts and discussions to gauge public opinion on projects.
• Topic Modeling: Identifies and categorizes key topics or themes within large text datasets to understand prevalent discussions.
• Keyword Extraction: Highlights significant terms and phrases to reveal core subjects and trends.
• Trend Analysis: Detects shifts in discussions or sentiment over time, helping users spot emerging patterns.
• White Paper Analysis
• Summary Generation: Produces concise summaries of lengthy documents for quick understanding.
• Technical Complexity Assessment: Evaluates the technical depth of a project to assess its innovation level.

Users can adjust parameters (e.g., sensitivity levels in sentiment analysis) to refine results or chain multiple models for more complex analyses.

2. Data Integration:

• Allows users to upload data files containing social media posts, community discussions, and project documents.
• Supports uploading of PDFs for in-depth analysis of white papers and technical documents.

3. Filtering and Search Capabilities:

• Advanced Filtering: Filter data based on keywords, topics or date ranges to focus on relevant information.
• Precise Search: Search within uploaded documents or aggregated data for specific terms or topics.

4. Interactive Visualization and Reporting

• Data Visualization: Offers visual representations through charts, graphs, heatmaps, and word clouds to make data interpretation intuitive.
• Reporting Tools: Generates detailed reports that include visualizations, insights, and user annotations.
• Comparative Analysis: Enables comparison of multiple projects side-by-side based on selected metrics or AI analysis results.

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

Cardano Insight will provide significant benefits to the Cardano community, such as:

• Improving informed decision-making for traders and investors by offering insights into market trends & sentiment on different topics and projects in the Cardano ecosystem. For projects that have their own token, this is particularly useful, as price and public sentiment as well as other technical indicators are not always directly correlated.
• Enabling users to customize the 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 AI model’s scores.

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?

Team Capabilities:

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 three principles:

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

2. 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.

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

Validation:

Our team is composed of highly skilled developers with extensive experience in Data Science & AI, ensuring we have the expertise to deliver the project. Further, the project will be fully open-source, allowing the community to review, contribute, and validate the code.

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

Milestone 1: Outputs:

1. Data Source Evaluation:

• Identify and document potential data sources relevant to Cardano projects, including:
• Social Media Platforms: Twitter, Reddit, Telegram channels.
• Official Cardano Forums and Blogs.
• GitHub Repositories: For project code and updates.
• White Papers and Technical Documents: Available from project websites or repositories.

2. AI Model Research:

• Research and select appropriate AI and machine learning models for:
• Sentiment Analysis
• Topic Modeling
• Keyword Extraction
• Trend Analysis
• White Paper Analysis

3. Comprehensive Market Research and Analysis:

• Analyze existing solutions in the market to identify gaps and opportunities.
• Understand user needs and expectations through surveys or interviews.

4. Project Plan Formulation:

• Develop a project plan outlining:
• Timelines and Milestones
• Resource Allocation
• Development Phases
• Risk Assessment and Mitigation Strategies
• Success Metrics

Acceptance Criteria:

• Final Report that covers all aspects of the outputs, including:
• Documentation of Relevant Data Sources:
• Detailed descriptions and evaluation of each potential data source.
• AI Model Research Findings:
• Justification for selected models with comparisons to alternatives.
• Market Research and Analysis Section:
• Insights into user needs, market gaps, and competitive analysis.
• Detailed Project Plan:
• Clear roadmap with defined milestones and resource plans.

Evidence of Milestone Completion:

• A Report summarizing all outputs, including appendices with detailed data source evaluations and AI model assessments.

Milestone 2: Outputs:

1. Integration of Selected Data Sources:

• Establish the integration of data sources
• Allow User Data Uploads

2. Algorithm Development:

• Implement efficient keyword filtering algorithms to process large volumes of data.
• Optimize algorithms for speed and accuracy in data retrieval.

3. AI Model Implementation:

• Integrate selected AI models into the system, including:
• Sentiment Analysis
• Topic Modeling
• Keyword Extraction
• Trend Analysis
• White Paper Analysis
• Fine-tune models using Cardano-specific datasets to improve relevance.

4. Web-Based Application Interface Development:

• Begin development of the web application focusing on:
• User Experience (UX): Intuitive navigation and usability.
• User Interface (UI): Clean design and accessibility.
• Implement core functionalities for data upload, filtering, and initial analysis.

5. Initial Testing and Fine-Tuning:

• Conduct preliminary testing of data processing workflows.
• Fine-tune machine learning models based on test results.

Acceptance Criteria:

• Integration Evidence:
• Report demonstrates successful integration of selected data sources with screenshots or code snippets.
• Algorithm and Model Implementation:
• Documentation of the keyword filtering algorithm and AI models used.
• Prototype Development:
• A video showcasing the web-based application interface prototype with basic functionalities operational.
• Open-Source Contribution (if applicable):
• AI models or parts of the codebase are available in an open-source GitHub repository.

Evidence of Milestone Completion:

• A Detailed Report summarizing all outputs with technical details.
• A Demonstration Video showing the prototype of the web-based application interface.
• GitHub Repository Link containing the sentiment models and relevant code (if open-sourced).

Milestone 3: Outputs:

1. User Interface Enhancement:

• Continue development to create a fully user-friendly interface.
• Implement advanced features like:
• Adjustable Parameters for AI models.
• Chaining Multiple Models for complex analyses.
• Interactive Visualizations.

2. Thorough System Testing:

• Perform extensive testing covering:
• Functional Testing: Ensure all features work as intended.
• Performance Testing: Optimize for speed and resource usage.
• Security Testing: Protect against data breaches and unauthorized access.
• Usability Testing: Gather user feedback to improve UX/UI.

3. Refinement of ML Models and Algorithms:

• Update and fine-tune models based on testing outcomes and feedback.
• Enhance algorithms for better accuracy and efficiency.

4. Development of Documentation and User Guides:

• Create documentation including:
• Overview of all models and usage parameters
• User Manuals and Guides
• FAQs and Troubleshooting Tips

Acceptance Criteria:

• Updated Interface Demonstration:
• A video showing the improved and fully functional user interface with all key features implemented.
• Testing Evidence:
• Report provides detailed results of all tests conducted.
• Includes user feedback summaries and actions taken to address issues.
• Documentation Availability:
• Complete set of documentation and user guides ready for distribution.

Evidence of Milestone Completion:

• A Comprehensive Report summarizing the outputs, including testing results and documentation.
• A Demonstration Video showing the enhanced web-based application interface with full functionality.
• Documentation Files available for review.

Final Milestone: Outputs:

1. Finalization and Deployment:

• Complete all coding and finalize the platform.
• Deploy the application on a live server with proper domain and hosting configurations.

2. Official Launch and Marketing:

• Launch the platform officially.
• Execute a marketing and community outreach plan including:
• Social Media Campaigns
• Press Releases
• Community Engagements

3. Performance Monitoring and User Feedback:

• Implement analytics tools to monitor:
• User Engagement Metrics
• System Performance
• Error Tracking
• Set up channels for user feedback and support.

4. Ongoing Support and Updates:

• Provide timely responses to user queries and issues.
• Plan for regular updates and enhancements based on user needs and technological advancements.

Acceptance Criteria:

• Live Platform Accessibility:
• The platform is live, accessible, and functions as expected without critical issues.
• Community Outreach Evidence:
• Documentation of marketing efforts such as social media posts, press releases, and event recordings.
• Collection of initial user feedback and testimonials.
• Project Closeout Documentation:
• A final report summarizing the project's progress, achievements, and future plans.
• A video presentation highlighting key features and thanking contributors and users.

Evidence of Milestone Completion:

• Live Platform Link:
• URL to the operational platform.
• Project Closeout Report and Video:
• Comprehensive report and a video summarizing all stages of the project.
• Marketing Materials:
• Links or copies of social media posts, press releases, and outreach content.
• User Feedback Records:
• Summaries of feedback received and actions taken.

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 & 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.

Future Recruitment: We plan to potentially recruit additional Cardano-experienced blockchain developers and UI/UX designers as needed to further scale our development efforts.

Please provide a cost breakdown of the proposed work and resources

Total Estimated Budget: 98,000 Ada

Cost Breakdown by Milestones and Activities

Milestone 1: Initial Planning and Research - 15,000 Ada

• Activities:
• Evaluating potential data sources (News, Twitter, Whitepapers)
• Researching relevant AI and machine learning models
• Conducting market research and analysis
• Formulating a detailed project plan
• Costs Include:
• Research expenses
• Planning and documentation efforts
• Initial consultations and expertise gathering

Milestone 2: Development and Integration - 37,000 Ada

• Activities:
• Integrating selected data sources into the platform
• Developing keyword filtering algorithms for efficient data processing
• Implementing sentiment scoring methodologies to analyze text data
• Starting development of the web-based application interface
• Conducting initial testing and fine-tuning of machine learning models
• Costs Include:
• Software development (backend and frontend)
• AI model implementation
• Data processing infrastructure
• Initial testing resources

Milestone 3: Refinement and Testing - 22,000 Ada

• Activities:
• Continuing development to enhance the user-friendly interface
• Conducting thorough testing of the entire system
• Refining machine learning models and algorithms based on feedback
• Developing comprehensive documentation and user guides
• Costs Include:
• Advanced development efforts
• Extensive testing and quality assurance
• User experience improvements
• Creation of documentation and support materials

Final Milestone: Launch and Post-Launch Activities - 19,000 Ada

• Activities:
• Finalizing code and deploying the platform
• Marketing and community outreach
• Monitoring performance and gathering user feedback
• Providing support to address issues or bugs
• Planning regular updates and feature enhancements
• Costs Include:
• Deployment expenses (servers, hosting)
• Marketing and promotional activities
• Customer support setup
• Post-launch maintenance

Contingency Fund (10% of Total Costs): 5,000 Ada

Allocated for unforeseen expenses or challenges

No dependencies.

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

Investing 98,000 Ada in Cardano Insight provides excellent value for the Cardano ecosystem for several reasons:

1. Empowering Users with Advanced Tools:

1. Accessibility: The platform democratizes access to sophisticated AI analysis tools, enabling users without technical backgrounds to engage deeply with Cardano projects.
2. Enhanced Decision-Making: Users can make informed decisions based on comprehensive data analysis, reducing risks and fostering confidence in the ecosystem.

2. Promoting Transparency and Trust:

1. Data-Driven Insights: By providing clear and actionable information, the platform enhances transparency around project developments and community sentiment.
2. Accountability: Increased visibility encourages projects to maintain high standards, benefiting the entire ecosystem.

3. Stimulating Ecosystem Growth:

1. Attracting Participants: Simplifying complex data analysis lowers barriers to entry, inviting more investors, developers, and enthusiasts to join the Cardano community.
2. Supporting Innovation: Developers gain insights into market needs and trends, guiding the creation of innovative solutions that address real user demands.

4. Economic Impact and Return on Investment:

1. Risk Reduction: Improved analysis tools help users avoid potential pitfalls, potentially saving significant resources and contributing to the ecosystem's overall stability.
2. Enhanced Project Success Rates: Better-informed participants can lead to higher success rates for projects within the ecosystem, promoting economic growth.