Please describe your proposed solution.

With the objective of simplifying and enhancing the querying process on the Cardano blockchain, an AI-based solution will be developed to provide a user-friendly and interactive experience similar to ChatGPT. This solution also offers use case-specific APIs, reducing development timelines for various projects.

By leveraging AI capabilities, this solution aims to address the challenges associated with querying onchain data on Cardano. Traditionally, chain indexers are slow and lacking in user-friendliness, while working with raw APIs can be cumbersome for developers. With our AI-powered solution, querying becomes more intuitive and efficient.

To achieve this, the solution incorporates AI algorithms that enable natural language processing and understanding. Users can input their queries or instructions in plain English, and the AI system will interpret and execute accordingly. Our streamlined process eliminates the need for developers to manually construct complex API requests, which will save time and effort.

In addition to the AI-powered querying interface, the solution provides use case-specific APIs tailored to different development needs. These APIs are designed to simplify integration with Cardano for specific applications and projects, further reducing the development timeline. Developers can leverage these APIs to access and manipulate on-chain data in a more efficient and effective manner.

This AI-based solution builds on the advancements that have been made in the field of blockchain technology and AI integration. By combining the power of AI with Cardano, our solution aims to enhance the overall experience of interacting with on-chain data and accelerate the development of innovative applications and services in the Cardano ecosystem.

Our AI-based querying solution offers a simplified and interactive approach to accessing on-chain data and creates a simple and interactive process for everyone, regardless of their level of tech-savviness.

How does your proposed solution address the challenge and what benefits will this bring to the Cardano ecosystem?

Our AI-based solution enables non-technical users to explore and interact with Cardano's on-chain data without requiring in-depth knowledge of blockchain technology or programming languages. This increased level of accessibility creates opportunities for a broader range of users including businesses, researchers, and individuals. This will allow everyone to leverage Cardano's capabilities and contribute to the ecosystem's growth.

By simplifying the querying process and providing user-friendly interfaces, the solution encourages collaboration and knowledge sharing within the Cardano community. Developers can easily exchange ideas, insights, and best practices, increasing innovation and accelerating the development of new applications and services on Cardano.

Our solution reduces the development timeline for various projects. These APIs are designed to simplify integration with Cardano, enabling developers to access and manipulate on-chain data more easily. With faster and easier access to on-chain data, developers can build applications and services on the Cardano ecosystem more rapidly, driving innovation and expanding the ecosystem's capabilities.

How do you intend to measure the success of your project?

Adoption and User Engagement: The number of users actively utilizing the AI-powered querying interface and the frequency of their usage are key indicators for measuring adoption and engagement. Tracking user metrics such as active users, sessions, and queries per user can provide insights into the popularity and usefulness of the solution.

Feedback and User Satisfaction: Gathering feedback from users about their experience with the solution is crucial. Conducting surveys and user reviews/ratings can help assess user satisfaction, identify areas for improvement, and validate the effectiveness of the solution in addressing user and community needs.

Developer Adoption: Monitoring the number of developers and projects integrating the use case-specific APIs provided by the solution can indicate the level of adoption among developers. This metric reflects the solution's ability to simplify development workflows and reduce development timelines, thereby attracting developers to leverage Cardano's capabilities.

Efficiency and Performance: Assessing the efficiency and performance of the AI-based solution is important. Measuring the response times for queries, comparing them to traditional chain indexers or raw API usage, and evaluating the accuracy of query results can provide insights into the solution's effectiveness in streamlining the querying process.

Please describe your plans to share the outputs and results of your project?

Establishing communication channels such as our website, blog, and social media accounts dedicated to the project. These channels can be used to share updates, milestones, and important project outcomes with the community.

Creating detailed documentation and reports that summarize the project's objectives, methodologies, findings, and impact. These documents can be made available to the public, including the Cardano community, through the project website and other relevant channels.

Actively engaging with the Cardano community through forums, meetups, and events to present the project's outputs and impact. This can include participating in conferences, webinars, and workshops where the project team can showcase the results and interact with stakeholders.

Seeking partnerships and collaborations with relevant organizations, content creators, and industry influencers. This can help amplify the project's reach and ensure that the outputs and opportunities are shared with a wider audience.

What is your capability to deliver your project with high levels of trust and accountability?

Our diverse team possesses the necessary capabilities and experience to deliver the Nubot project with high levels of trust and accountability. We have already demonstrated our expertise in AI and Blockchain through our various other Cardano projects that we have built.

Our technical lead for Nubot has been in the AI space for 10+ years and has done extensive research and development for governments internationally.

<https://scholar.google.com/citations?user=dh9MPA0AAAAJ>

The project team, including Nucast members, has a substantial audience of over 8000+ members across social media channels and Discord. This engaged community can be instrumental in providing valuable feedback and contributing to the platform's growth.

Team has a history of successfully delivering projects in the web3 and entertainment domains. Our past successes demonstrate our ability to design, develop, and deploy secure and scalable solutions.

In terms of accountability, we are committed to:

Regular Updates: Nubot team will provide regular project updates and key performance indicators (KPIs) through our Medium blog. This transparent approach keeps stakeholders informed about the project's progress, achievements, and metrics.

What are the main goals for the project and how will you validate if your approach is feasible?

The goal is to simplify the process of accessing on-chain data by leveraging AI capabilities for natural language processing and understanding. The feasibility of this goal can be validated by conducting user testing and gathering feedback on the usability, intuitiveness, and overall satisfaction of users interacting with the AI-powered querying interface.

The project strives to deliver accurate query results in a timely manner. Feasibility will be validated by comparing the accuracy and performance of the AI-based solution to existing methods of querying on-chain data. Conducting benchmark tests, measuring response times, and evaluating the accuracy of query results can provide evidence of the feasibility of the approach.

The project intends to reduce the development timelines for Cardano-based projects by providing use case-specific APIs that simplify integration with the blockchain. The goal is to make it easier and more efficient for developers to access and manipulate on-chain data. Feasibility can be assessed by evaluating the time and effort saved by developers when utilizing the provided APIs compared to traditional methods. Developer feedback and adoption rates can also provide insights into the feasibility and effectiveness of the approach.

Please provide a detailed breakdown of your project’s milestones and each of the main tasks or activities to reach the milestone plus the expected timeline for the delivery.

Phase 1: NLP Algorithm Development (3 months)

Milestones:

Research and analysis of Cardano blockchain data structures and patterns (Week 1-2)

Design and development of NLP algorithms for data extraction and analysis (Week 3-6)

Testing and refinement of NLP algorithms for accuracy and performance (Week 7-10)

Projected cost: 83,333 ADA

Phase 2: Real-Time Monitoring System (2 months)

Milestones:

Design and development of real-time data ingestion and processing pipeline (Week 1-4)

Integration of NLP algorithms for analyzing incoming blockchain data (Week 5-6)

Implementation of alert system to notify users of potential scams or suspicious activities (Week 7-8)

Projected cost: 73,333 ADA

Phase 3: User-Friendly Dashboard and Reporting (2 months)

Milestones:

User interface design and development for the CardanoShield dashboard (Week 1-4)

Integration of NLP-generated insights into the dashboard (Week 5-6)

Development of customizable reporting features and visualizations (Week 7-8)

Projected cost: 56,667 ADA

Phase 4: Community Collaboration Platform (1 month)

Milestones:

Design and development of a collaborative platform for community reporting and knowledge sharing (Week 1-3)

Integration of reporting and communication features within the platform (Week 4)

Projected cost: 53,334 ADA

The overall project timeline is 8 months

Total projected cost: 266,667 ADA

Please describe the deliverables, outputs and intended outcomes of each milestone.

Phase 1: NLP Algorithm Development (3 months)

Milestones:

Research and analysis of Cardano blockchain data structures and patterns (Week 1-3)

Deliverables: Documentation outlining the data structures and patterns found within the Cardano blockchain.

Outputs: A comprehensive understanding of the Cardano blockchain's data structures, enabling the development of effective NLP algorithms.

Design and development of NLP algorithms for data extraction and analysis (Week 4-6)

Deliverables: NLP algorithms designed and implemented specifically for extracting and analyzing data from the Cardano blockchain.

Outputs: Functioning NLP algorithms capable of extracting relevant information from blockchain data.

Testing and refinement of NLP algorithms for accuracy and performance (Week 7-12)

Deliverables: Test cases, test data, and performance evaluation metrics.

Outputs: Refined NLP algorithms with improved accuracy and performance, validated through testing and analysis.

Phase 2: Real-Time Monitoring System (2 months)

Milestones:

Design and development of real-time data ingestion and processing pipeline (Week 1-4)

Deliverables: Real-time data ingestion and processing pipeline architecture and implementation.

Outputs: An operational pipeline capable of ingesting and processing Cardano blockchain data in real-time.

Integration of NLP algorithms for analyzing incoming blockchain data (Week 5-6)

Deliverables: Integration of NLP algorithms into the real-time data pipeline.

Outputs: NLP algorithms integrated with the pipeline to analyze incoming blockchain data in real-time.

Implementation of an alert system to notify users of potential scams or suspicious activities (Week 7-8)

Deliverables: Alert system design and implementation.

Outputs: A functional alert system that can detect and notify users of potential scams or suspicious activities on the Cardano blockchain in real-time.

Phase 3: User-Friendly Dashboard and Reporting (2 months)

Milestones:

User interface design and development for the CardanoShield dashboard (Week 1-4)

Deliverables: User interface design mockups and implementation of the CardanoShield dashboard.

Outputs: A visually appealing and user-friendly dashboard for users to access Cardano blockchain insights.

Integration of NLP-generated insights into the dashboard (Week 5-6)

Deliverables: Integration of NLP-generated insights into the dashboard interface.

Outputs: NLP-generated insights displayed within the CardanoShield dashboard for users to access and understand blockchain data easily.

Development of customizable reporting features and visualizations (Week 7-8)

Deliverables: Customizable reporting features and visualizations for users.

Outputs: Users can generate customizable reports and visualize blockchain data according to their preferences within the CardanoShield dashboard.

Phase 4: Community Collaboration Platform (1 month)

Milestones:

Design and development of a collaborative platform for community reporting and knowledge sharing (Week 1-3)

Deliverables: Design and implementation of a collaborative platform interface.

Outputs: A collaborative platform where users can report and share information related to Cardano blockchain activities.

Integration of reporting and communication features within the platform (Week 4)

Deliverables: Reporting and communication features integrated into the collaborative platform.

Outputs: Users can report suspicious activities, share insights, and communicate with other community members within the platform.

The intended outcomes of these milestones include:

A set of NLP algorithms capable of extracting and analyzing relevant data from the Cardano blockchain.

A real-time monitoring system that ingests, processes, and analyzes blockchain data, alerting users to potential scams or suspicious activities.

Please provide a detailed budget breakdown of the proposed work and resources.

Phase 1: NLP Algorithm Development (83333 ADA)

Personnel and Development Costs: 23,333 ADA

Research and Data Analysis: 5,000 ADA

NLP Algorithm Design and Development: 36,667 ADA

Testing and Refinement: 13,333 ADA

Cloud Service for ML training and deployment: 5,000 ADA

Phase 2: Real-Time Monitoring System (73333 ADA)

Personnel and Development Costs: 26,000 ADA

Data Ingestion and Processing Pipeline: 6,333 ADA

Integration of NLP Algorithms: 11,667 ADA

Alert System Implementation: 11,667 ADA

Cloud Services for ML deployment and monitoring system: 11,333 ADA

API design and development: 6,333 ADA

Phase 3: User-Friendly Dashboard and Reporting (56667 ADA)

Personnel and Development Costs: 23,333 ADA

User Interface Design and Development: 13,333 ADA

Integration of NLP-Generated Insights: 6,667 ADA

Customizable Reporting Features and Visualizations: 6,667 ADA

Cloud Service testing and evaluation: 6,667 ADA

Phase 4: Community Collaboration Platform (53,334 ADA)

Personnel and Development Costs: 8,333 ADA

Collaborative Platform Design and Development: 6,667 ADA

Reporting and Communication Integration: 3,333 ADA

Cloud Services ongoing costs: 8,334 ADA

Software Licenses and Tools: 6,667 ADA

Marketing and Promotion: 6,667 ADA

Contingency Fund: 13,333 ADA

Phase 1: NLP Algorithm Development: 83,333 ADA

Phase 2: Real-Time Monitoring System: 73,333 ADA

Phase 3: User-Friendly Dashboard and Reporting: 56,667 ADA

Phase 4: Community Collaboration Platform: 53,334 ADA

Total Budget: 266,667 ADA

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

This is a joint project between Adaxon and Nucast. We will leverage all the team members. Here are the key members:

Dr. Bharath Ramesh - Technical Lead

Dr. Bharath has over 10 years of experience in Industry 4.0 technology and is responsible for overseeing the project's implementation. He has a deep understanding of the Cardano blockchain and will ensure the successful integration of the proposed solution.

Sricharan Ganta - Project Lead (and additional team members of Nucast Labs)

Sricharan is a successful entrepreneur and business development strategist with over seven years of experience in business-driven roles and over four years of experience in the web3 domain. He has a successful track record of delivering innovative products on the Cardano Blockchain. As the CEO of Nucast, Additionally, he holds a Masters in Computer Science from the University of Central Missouri, USA. Nucast Labs has been able to successfully build various scalable Cardano dapps with a highly skilled and experienced development team of 15+ members with over 30 years of combined industry experience.

Sam Jeff - Blockchain Expert

Sam is a skilled software developer with expertise in developing blockchain-based applications. He will be responsible for implementing the necessary software components to seamlessly bridging AI Infrastructure and the Cardano blockchain.

Nucast Labs : Successfully built various scalable Cardano dapps. Nucast is proud to host a highly skilled and experienced development team of 15+ members with over 30 years of combined industry experience.

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

The development of AI-powered NLP algorithms and user-friendly interfaces streamlines the process of accessing and analyzing blockchain data. This reduces the time and effort required for developers and users to extract valuable insights about ecosystem activity and other areas of interest.

The investment in advanced AI technologies and the development of tailored solutions for the Cardano blockchain demonstrate a commitment to the long-term sustainability and growth of the ecosystem. By continually improving innovation and enhancing the blockchain's capabilities, the project contributes to the attractiveness of Cardano as a platform for developers, businesses, and users, which will have a positive impact on the overall value of the Cardano ecosystem.

By investing in a comprehensive NLP-based monitoring and alert system, the Cardano ecosystem can detect and mitigate potential scams and suspicious activities in real-time. This proactive approach to security helps protect users and maintain the integrity of the blockchain, ultimately adding value to the ecosystem.

The project cost, based on USA, Singapore and Indian market rates, allows for the efficient allocation of resources to ensure the successful development and deployment of the platform.