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:
Pitch Deck:
Pravahini.pdf (227.6 KB)
Project Website: Pravahini (प्रवाहिनी)
Project Test Instructions:
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Connect your wallet:
- Connecting your wallet is the first step to using our Platform.
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Get Started:
- Click on the ‘Get Started’ button to be redirected to the sign-up page.
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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.
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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
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Code Editor
- Navigate to the “Code Editor”
- Write and execute code directly from the interface.
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AI Agent Marketplace:
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Explore and Browse Agents:
- Navigate to the “AI Agent Marketplace”
- Search, filter, and select AI agents based on your needs.
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AI Agent Listing:
- Navigate to “Upload AI Agent” Page
- Create an AI agent listing by providing details and configurations.
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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.
- Add a Rating:
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:
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Deployed on BTTC Mainnet in Season 7:
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Deployed on BTTC Mainnet in Previous Seasons:
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: