Why are you participating for Based India?

Yuga's tweet - https://x.com/yugacohler/status/1823087061357793616 inspired us about the concept of an AI Agent wallet. We wanted to apply the concept of data collection and payment using agents to build TagFi, a TikTok reel-like app for data collection and rewards.

Connection to the Region

We are based out of India. The ancient roots of India take us to the story of Mata Shabri, who filtered out quality fruits for Lord Rama, and that’s where we thought AI needs many modern-day Shabris to generate classified high-quality data.

What challenges are you focusing on?

Epoch 2024 research report and podcast from Mustafa Soleman, Microsoft AI CEO, indicated that by 2026, high-quality text data for training LLMs will be exhausted, a trend that could slow down AI progress. Human-classified data could be a great way to continue feeding in high-quality data for specific cases where synthetic data may not work.

To make this happen, we need to address two key challenges:

1. ✅ Verified humans to avoid toxicity
2. 🌍 Solving this at scale

And that’s where TagFi comes into the picture!

How does your submission address this challenge?

We address the above two challenges in the following ways:

1. Verify users and check eligibility against user reputation: From basic user verification systems to resist bots and bring unique users, to verifying users for their reputation in specific skills that qualify them to input data. For example, user-generated content (UGC) across different focus areas such as specific skills like medical surgery, experience like combat, and domain knowledge in wildlife.

2. Solving at scale: There are already several projects enabling the data economy that could address similar challenges, but we feel adding social engagement with a TikTok or Instagram-like reel-making, gamified experience with filters and rewards could bring larger user bases to generate data at volume across categories.

🔖 Project TagFi:
Instagram / TikTok reel-like verified user input collection to drive the next generation of AI model training.
Personas include:

• Data consumer (AI companies)
• Data classifier and content creator

Key Modules:

• User verification leveraging Privado iD
• AI agent-based rewards using Coinbase SDK
• Marketplace for data consumers to set requests
• User can download the app on ios and android

🦾 User flows

• Simple classification flow:
  A user undergoes verification and creates a profile on TagFi -> Accesses quests from the marketplace -> Classifies images across categories -> Gets rewarded

• Content generation flow:
  A user undergoes verification and creates a profile on TagFi -> Accesses quests from the marketplace -> Leverages several ways to add classified data to the dataset (e.g., mobile camera, filters, etc.) -> Data could be verified by other users based on data consumer rules -> Rewards will be proportionate to the user’s reputation

🚀 TagFi Impact:
Access to verified user generated and proprietary content will enable hot licensing and acquisition target to help further development of AI

Challenges we ran into

Identification of Data Consumers:
Studied and interacted with several AI data-providing projects like Masa, Vana, Nukl, and others to understand demand and supply gaps in data consumption and generation.

Exploring ways to solve RLFH at scale with:

• User verification
• User reputation
• Establishing review and rating mechanisms
• Proportional incentive mechanics