DeepSeer

DeepSeer is a production-oriented decentralized prediction market that allows users to trade on the outcome of real-world events directly on-chain.
Prediction markets are powerful tools for aggregating information, but most existing systems rely on centralized operators to resolve market outcomes. This creates trust and manipulation risks.
DeepSeer solves this problem by introducing a deterministic oracle-based settlement pipeline powered by Chainlink infrastructure.
The system combines:
• Smart contracts for market creation and trading
• Chainlink Data Feeds for verifiable price data
• Chainlink Functions for external API resolution
• Chainlink CRE workflows for automated settlement orchestration
• An AI risk layer that evaluates oracle responses before settlement
Users can trade outcomes such as:
• cryptocurrency price movements
• sports results
• economic indicators
• real-world events
When a market reaches its resolution time, the system automatically triggers a Chainlink-powered resolution workflow.
The workflow:

1. Fetches external outcome data through APIs
2. Verifies the data through Chainlink oracle infrastructure
3. Evaluates confidence signals using an AI risk model
4. Finalizes the outcome using the SettlementEngine contract
   If the oracle confidence is low or conflicting data is detected, the market cancels instead of resolving incorrectly.
   This ensures that DeepSeer markets are transparent, auditable, and secure against oracle manipulation or incorrect settlements.
   DeepSeer demonstrates how oracle networks, decentralized automation, and AI risk models can be combined to build secure prediction markets for Web3.

DeepSeer consists of four primary layers:
Smart Contract Layer (Solidity)
PredictionMarket
AMM liquidity engine
SettlementEngine
Governance contract
DeepSeerToken
These contracts manage:
• market lifecycle
• liquidity and pricing
• oracle resolution
• settlement and payouts
Oracle Layer (Chainlink)
The project integrates multiple Chainlink services:
Chainlink Data Feeds

• used for verified price feed data
  Chainlink Functions
• fetch external API data for market resolution
  Chainlink CRE (Runtime Environment)
• orchestrates automated settlement workflows
  The CRE workflow:

1. Reads market state from the PredictionMarket contract
2. Fetches external data via HTTP APIs
3. Validates results
4. Calls SettlementEngine.finalizeSettlement()
   Backend Layer
   Node.js backend provides:
   • AI risk scoring engine
   • anomaly detection
   • confidence scoring
   • WebSocket event broadcasting
   Frontend Layer
   Built with:
   Next.js
   TypeScript
   TailwindCSS
   Ethers.js
   The UI provides:
   • trading interface
   • market charts
   • liquidity visualization
   • settlement status