Pravahini (प्रवाहिनी) by Team Pravahini (प्रवाहिनी) - Where Data Flows, Models Grow, and AI Glows!

[victorious]

Project Name: Pravahini (प्रवाहिनी) - Where Data Flows, Models Grow, and AI Glows!

Project Track: Builder

Team Name: Team Pravahini (प्रवाहिनी)

Team Member(s): @victorious @im_31 @oggyyy

DevPost Project Link: Devpost Submission

Project Goal:

Our goal is to build a dynamic AI marketplace that seamlessly integrates machine learning, data science, and decentralized computation. Pravahini will empower users to discover, categorize, and collaborate on datasets and AI models, leveraging cutting-edge tools for building, sharing, and monetizing AI solutions. With features such as AI-driven dataset categorization, a code editor, and an AI agent marketplace, we aim to provide a holistic platform for AI enthusiasts, developers, and researchers.

As part of our latest enhancements, we are introducing an AI model for automatic categorization of datasets and models, an integrated code editor for seamless coding within the platform, and an AI agent marketplace with a built-in rating and review system. The marketplace will enable users to browse, filter, and purchase AI agents with ease. Looking ahead, we plan to implement prompt-based AI agent creation, allowing users to build agents with simple natural language instructions. These new features will enhance user experience, streamline workflows, and foster a vibrant, collaborative AI ecosystem.

Project Value:

Pravahini brings immense value to the AI and data science community by offering a comprehensive platform that integrates the entire lifecycle of AI development, from dataset discovery and model building to agent deployment and monetization. Through its decentralized architecture and blockchain-based infrastructure, Pravahini ensures secure and transparent interactions among data providers, developers, and users. By combining powerful tools such as AI-driven categorization, integrated coding environments, and a marketplace for AI agents, Pravahini streamlines workflows, enhances collaboration, and democratizes access to AI technologies. This value proposition positions Pravahini as a one-stop solution for AI innovation and development, enabling users to push the boundaries of AI-driven applications.

Project Info:

In Sanskrit, the term “प्रवाहिनी” (Pravāhinī) embodies the essence of a “flow” or “stream.” Within our platform, it symbolizes the continuous flow of data, models, and innovations powering the realm of artificial intelligence. Pravahini is not just a marketplace; it’s a dynamic ecosystem fostering the evolution of AI resources.

Pravahini Presentation Video:

Pravahini (प्रवाहिनी) - Where Data Flows, Models Grow, and AI Glows! - HackaTRON Season 7

Pitch Deck:
Pravahini.pdf (227.6 KB)

Project Website: Pravahini (प्रवाहिनी)

Project Test Instructions:

• Connect your wallet:

  • Connecting your wallet is the first step to using our Platform.

• Get Started:

  • Click on the ‘Get Started’ button to be redirected to the sign-up page.

• User Dashboard:

  • The user dashboard will provide you with access to all your datasets, machine learning models and AI Agents. Additionally, it will display the purchased models and datasets for your convenience.

• AI Model for Dataset Categorization:

  • Navigate to “Create Dataset” Page
  • Fill the information and upload the dataset
  • Model will process the dataset and it will update the category

• Code Editor

  • Navigate to the “Code Editor”
  • Write and execute code directly from the interface.

• AI Agent Marketplace:

  • Explore and Browse Agents:

    • Navigate to the “AI Agent Marketplace”
    • Search, filter, and select AI agents based on your needs.

  • AI Agent Listing:

    • Navigate to “Upload AI Agent” Page
    • Create an AI agent listing by providing details and configurations.

• Rating and Review System:

  • Add a Rating:
    • After using an AI agent, navigate to the AI Agent.
    • Submit a rating.
  • Add Review:
    • Navigate to an individual AI Agent.
    • Verify that a comment section is available.
    • Write a comment and submit it.
    • Confirm that the comment appears on the dataset or model page.

Project Details:

Problem Statement
Existing AI marketplaces lack a unified platform that integrates dataset and model trading, coding capabilities, AI agent creation, and decentralized computation. This fragmentation hampers efficient resource discovery, standardization, and collaboration within the AI community. The absence of automated categorization, robust collaboration tools, and mechanisms to prevent dataset duplication further limits the platform’s utility, creating barriers for both technical and non-technical users to contribute effectively to AI innovation.

Solution
Pravahini is an innovative platform that offers an expansive AI marketplace encompassing datasets, pre-trained machine learning models, and decentralized computation. We empower users to unlock the full potential of AI through our comprehensive suite of features:

• AI Marketplace:
  • A comprehensive marketplace for datasets and pre-trained models tailored for AI applications, facilitating resource discovery for machine learning projects.
• Decentralized Computation:
  • Process machine learning tasks across multiple nodes, maximizing efficiency and scalability through decentralized systems.
• Data Visualization:
  • Interactive tools for visualizing datasets, uncovering patterns, and gaining deeper insights.
• Commenting Feature:
  • Foster collaboration by allowing users to comment and share feedback on datasets and models.
• Computation Notifications:
  • Receive instant email updates when machine learning tasks are completed, ensuring users stay informed.
• Plagiarism Checker:
  • Detects and prevents dataset duplication to maintain originality and data integrity.

New Features:

• AI Model for Categorization:
  • Automatically categorize datasets and models with a machine learning model, streamlining resource discovery.
• Integrated Code Editor:
  • Access a built-in code editor for seamless coding, testing, and editing machine learning models within the platform.
• AI Agent Marketplace:
  • Discover, list, and purchase AI agents for specific tasks, complete with search and filtering features.
• AI Agent Rating & Review:
  • Rate and review AI agents to provide feedback, improving agent quality and user satisfaction.

Smart Contract links:

• Deployed on BTTC Mainnet in Season 7:

  • AI Agent Marketplace Contract

• Deployed on BTTC Mainnet in Previous Seasons:

  • User Authorization Contract
  • Dataset Marketplace Contract
  • Model Marketplace Contract

Project Milestones:

Milestone 1: [Completed ]
(20/08/2024 to 01/09/2024)

AI Model for Identifying the Category of Datasets

• Data Collection and Preparation
  • Collect a diverse dataset of labeled datasets.
  • Preprocess the data, including feature extraction and normalization.
• Model Selection and Training
  • Experiment with various machine learning algorithms to identify the most suitable ones.
  • Train and evaluate the selected models on the prepared dataset.
• Model Integration
  • Integrate the model into Pravahini to identify the Category of the Datasets.

Milestone 2: [Completed ]
(02/09/2024 to 13/09/2024 )

Integrate an Code Editor

• Create an UI of the Code Editor
  • Research and evaluate popular Code Editor based on their suitability for data science and machine learning tasks.
• Integration
  • Integrate the selected Code Editor into Pravahini’s environment.
  • Configure the code editor to provide a seamless experience for users.

Milestone 3: [Completed ]
(14/09/2024 to 26/09/2024)

AI Agent Marketplace

• Marketplace Infrastructure
  • Design and develop the marketplace platform.
  • Implement features for agent listing, search, and filtering.
• Agent Onboarding
  • Create UI and guidelines and processes for agents to be listed on the marketplace.
• User Experience
  • Design an intuitive user interface for browsing and purchasing agents.
  • Ensure a smooth user experience for both agent providers and consumers.

Milestone 4: [Completed ]
(27/09/2024 to 06/10/2024)

AI Agent Rating and Review

• Rating System
  • Develop a rating system that allows users to rate.
• Feedback Mechanisms
  • Provide options for users to leave detailed feedback and comments.
  • Encourage constructive feedback to help improve agent quality.
  • Display agent ratings and reviews prominently on the marketplace.

Future Vision:

• Custom AI Agents: Enable users to create AI agents through simple prompts using natural language processing (NLP). This feature will allow non-technical users to participate in building powerful AI tools.
• User Onboarding: Implement a streamlined onboarding process to guide new users in using and utilizing the features of Pravahini.
• Community Engagement: Increase community engagement by creating dedicated social media accounts to share updates, tutorials, and user-generated content, fostering a vibrant ecosystem around AI tools.

Project Screenshots:

[manfred_jr]

Welcome to Hackathon Season 7, I clearly remember your project from previous season. Given your earlier participation from previous season, how’d you say that has helped your experience in participation of Hackathons in general?

[ines_valerie]

Welcome to the Hackathon of season 7, I know you very well from the last season are you still submitting the same project

[victorious]

Thank you @ines_valerie @manfred_jr !

It’s great to be back for Hackathon Season 7, and we appreciate your continued interest in our work.

Yes, we are submitting the same project, Pravahini, it has given us valuable insights, especially when working on projects in an industry that’s still pre-product-market-fit (pre-PMF) like Web3.

We understand that achieving product-market fit (PMF), especially in an emerging and pre-PMF space like Web3, requires time and continuous iteration. Pravahini is still evolving, and we’ve been working on refining its features and scalability to better align with the market as it develops.

Participating in previous seasons taught us to take a long-term approach and develop solutions that can address future challenges, not just present-day needs

Last season also provided us with invaluable experience in planning, execution, and communicating our vision. This time, we’ve refined our product development strategies to present a stronger case for Pravahini in the Builder Track.

We’re excited to submit Pravahini for Season 7 and look forward to continuing the journey of finding the right fit as the market evolves.

[ines_valerie]

It have been really good from the last season until this one I am wishing you the very best and I have read everything about your project and I am wishing you goodluck, thank you

[victorious]

Thank you so much for your kind words and support! It means a lot to us. We’re excited about the progress we’ve made with Pravahini and looking forward to this season.

[Okorie]

Welcome to season 7 of hackathon

[Anderson]

How does the AI model for categorization improve resource discovery?

What are the planned milestones for the development of Pravahini?

How will the integrated code editor benefit users working on machine learning tasks?

Describe the process for users to rate and review AI agents in the marketplace.

What future enhancements are planned for the AI agent creation process?

How does Pravahini ensure the integrity of datasets and prevent duplication?
@victorious @oggyyy

[manfred_jr]

You deserve a round of applause for outrightly sticking around, you’re welcome to the Hackathon again, and again, and again. From my read, I see you aim to establish a decentralized AI marketplace with a focus on data, machine learning models, and computation resources and that’s quite well-rounded and ambitious if you ask me. But, will there be any governance mechanisms in place to regulate the marketplace?

[victorious]

@Okorie Thank you for the warm welcome!

[Okorie]

have study your project goal where you talked about building a dynamic AI marketplace that seamlessly integrate machine learning,data science and decentralized computational.
I have a very important question

• Given the dynamic nature of the AI landscape and the constant evolution of machine learning technologies, what approach have you put in place to ensure that AI model for dataset categorization remains accurate, relevant, and up-to-date with emerging trends and advancements in data science.

[victorious]

@manfred_jr As of now, we haven’t implemented any governance mechanisms for the marketplace, but it’s definitely something we plan to explore in the future. We recognize the importance of community-driven governance and will give it serious consideration as we continue developing Pravahini."

[victorious]

Great question @Okorie ! Given the fast-paced evolution of AI and machine learning, we’ve adopted a continuous learning approach for our AI model in dataset categorization. This includes regularly updating the model with new datasets, retraining it on emerging trends, and incorporating community feedback. We also aim to integrate advanced techniques like transfer learning and fine-tuning to ensure the model stays accurate, relevant, and aligned with the latest advancements in data science.

[victorious]

@Anderson You just bombarded us with questions!

We’re happy to answer them all:

• How does the AI model for categorization improve resource discovery?

  • It enhances resource discovery by categorizing datasets efficiently, helping users find relevant data faster.

• What are the planned milestones for the development of Pravahini?

  • Our roadmap for season 7 includes creation of model which identifies the category of a Dataset, Integrate a code Editor, Create an AI Agent Marketplace and allow users to give rating to AI Agent and add Comments.

• How will the integrated code editor benefit users working on machine learning tasks?

  • As of now, users can write complex functions in the integrated code editor and get the required output. In the future, we plan to enhance this by allowing users to perform computations directly on models using datasets available within the platform itself, making the process even more seamless.

• Describe the process for users to rate and review AI agents in the marketplace.

  • Users can rate AI agents based on performance and usefulness, providing valuable feedback for improvements.

• What future enhancements are planned for the AI agent creation process?

  • Our Future vision for AI Agent Creation is to enable users to create custom AI agents through simple prompts.

• How does Pravahini ensure the integrity of datasets and prevent duplication?

  • We’ve already developed a plagiarism checker that scans datasets to ensure originality and maintain the quality of data on the platform.

[Okorie]

@victorious
Thanks for your quick response and clarity

[Shangra1]

@manfred_jr

previous season. Given your earlier participation from previous season, how’d you say that

What are the key features of the Pravahini platform that facilitate collaboration and monetization for AI enthusiasts and developers, and how does AI-driven dataset categorization enhance the user experience?

[victorious]

Hi @Shangra1 !

Pravahini offers key features that foster collaboration and monetization for AI enthusiasts and developers. It includes a Dataset and ML Model Marketplace, allowing users to share, buy, or monetize their data and models. Additionally, the AI Agent Marketplace enables users to create, share, and monetize AI agents. The integrated code editor allows seamless development and testing of models. Users can also rate and review AI agents, encouraging a collaborative community.

AI-driven dataset categorization further enhances the user experience by efficiently organizing datasets, making it easier to discover relevant resources and improve workflow efficiency.

[Anderson]

Really thankful for your answer with clarity

[manfred_jr]

It’s promising to hear that you’re considering governance mechanisms for Pravahini in the future. What kind of governance model are you leaning towards? Will it be a full DAO model?

[victorious]

Hello everyone,

We’re excited to announce that our Pravahini (प्रवाहिनी) project is now live on Devpost! Huge thanks to the community for your feedback and support throughout this journey.

Check out the links below:

• Platform
• Devpost Submission
• Demo Video

We’re committed to refining the platform based on your input and delivering a top-notch experience. Feel free to reach out with any feedback or questions!

Thank you for being part of this journey!