Cardano AI Sentiment Tracker

[GENERAL] Name and surname of main applicant

AigenSpace Team

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

Entity (Not 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)

We develop an AI sentiment analysis tool for tracking market sentiments on topics surrounding the Cardano ecosystem. Visit our open-source GitHub repository for our protoype.

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

No

[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.”

No dependencies.

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

Yes

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

Licence: MIT License

We are dedicated to maintaining a fully open-source GitHub repository, ensuring that all aspects of our machine-learning models used for sentiment analysis are accessible and thus can be verified by the community. We believe that this is important to ensuring the transparency of the models. Alongside we will provide tools to trace how sentiment predictions were made.

[SOLUTION] Please describe your proposed solution.

We develop a dedicated sentiment analysis tool for the Cardano community.

Overview:

Description:

1. Develop a web application integrating Cardano-based data sources, allowing users to access sentiment reports on all sorts of topics in the Cardano ecosystem.
2. Apply state-of-the-art Artificial Intelligence sentiment models capable of processing large amounts of data from various sources, such as social media, news platforms, blogs, and forums, to determine the market sentiment
3. Incorporate a keyword filtering feature that allows users to customize the sentiment analysis for specific topics or projects
4. Employ a transparent scoring method that explains the computation behind sentiment scores and provides insights into the contributing factors, such as the data sources

You can explore our protoype: Cardano AI Sentiment Tracker. 

[IMPACT] 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:

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

[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?

Prototype Availability:

Our open-sourced prototype is available on GitHub. You can explore it here:  

Cardano AI Sentiment Tracker. 

This repository gives access to our prototype, including documentation on its use.

Team Expertise and Capabilities:

Our team comprises professionals with 5 to 10 years of experience in the fields of as Machine Learning, Data Science, and Blockchain Technology. 

Feasibility and Market Relevance:

Sentiment trackers have proven helpful in traditional finance, serving as invaluable tools for traders and investors to make informed decisions. 

Recognizing this, we identified a significant gap in the market: the need for sentiment analysis tools specifically designed for the Cardano community. Our solution addresses this gap by tailoring a sentiment tracker to the needs of the Cardano community.

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

Phase 1 (Months 1-2): Initial Planning and Research

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

Phase 2 (Months 3-6): Development and Integration

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

Phase 3 (Months 7-9): Refinement and Testing

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

Phase 4 (Month 10): Launch and Post-Launch Activities

• 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

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

Project Lead & Blockchain Developer: Christoph

• Role: Oversees the entire project, ensuring that milestones are met and align with the project's objectives.
• Responsibilities: Strategic planning, team coordination, stakeholder communication, Writing and testing smart contract code, blockchain integration.

AI Model Specialist & Community Manager: Samy

• Role: Ensures that the AI models are compatible with the smart contract framework, Manages engagement with the open-source community
• Responsibilities: AI model integration, performance optimization, user feedback integration, Facilitating community contributions, managing feedback, ensuring open-source standards, project documention

Samy and Christoph have a combined experience of more than 10 years in blockchain development and as machine learning specialists.

If the project is funded Christoph and Samy are planning on onboarding additional senior developers to the project. This will not be a problem due to there vast network of developer connections.

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

The total requested budget for this project is 240,000 ADA. The cost breakdown is as follows:

Phase 1: Research, identification of data sources, research into the all relevant Machine Learning models, and initial prototype design: 40,000 ADA (16.6%)

Phase 2: Integration of data sources, implementation of keyword filtering, sentiment scoring methodology development, and web-based application development: 80,000 ADA (33%)

Phase 3: User interface design, testing, and refinement: 80,000 ADA (33%)

Phase 4: Finalization of the solution, public release, and ongoing support and update: 40,000 ADA (16.6%)

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

Investing 240,000 ADA in the Cardano AI Sentiment Tracker provides significant value for the Cardano community by:

1. Providing traders and investors with insights, resulting in more informed decision-making, improved investment outcomes, and potentially increased adoption of the Cardano platform.
2. Saving time and resources for users who would otherwise need to manually research and analyze market sentiment across various fragmented data source.
3. Building trust and confidence within the Cardano community by offering a transparent, data-driven solution.
4. 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.

[IMPORTANT NOTE] The Applicant agrees to Fund Rules and also that data in the submission form and other data provided by the project team during the course of the project will be publicly available.

I Accept