The problem Oracle View solves

Oracle View: AI-Powered Content Oracle

Built a decentralized oracle system that bridges YouTube analytics with blockchain transparency through AI. Perfect fit for FanTV's oracle challenge as it's already solving their exact requirements.

How It Works

Users submit YouTube URLs through our dApp, triggering the oracle service to fetch video metadata via YouTube's API. This data is processed by GPT-3.5 to generate virality scores and content insights, which are then permanently stored on Base's blockchain. Creators can access these immutable predictions and track performance over time.

Technical Implementation

• Smart Contracts: Solidity on Base for immutable storage
• Oracle Service: Express.js + OpenAI GPT-3.5
• Data Sources: YouTube API for metrics, GPT for analysis
• Frontend: React + Material-UI for mass adoption

Key Features

• Viral prediction scoring (0-100)
• Content theme analysis
• Cross-chain compatibility
• 5-minute spam protection
• Historical performance tracking

Why It Works

Built this because content creators need transparent, manipulation-proof analytics. The oracle provides exactly what FanTV seeks: decentralized content verification with AI-powered performance predictions.
The system is production-ready, scalable, and already serving real users on Base.

Challenges I ran into

Chainlink Functions Incompatibility: Was initially planned to be implemented in the Chainlink Functions utilizing the DON system but it was running into trouble during OpenAI calls and Secrets storage

Only 1 cluster node is deployed due to the time constrain of the hackathon