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  • Rating 5.0
  • Rating 8 001

Budget: 2000 USD Deadline: 14 days

Building a real-time AI + blockchain sports betting platform where latency, transaction integrity, and odds accuracy all have to work together simultaneously is the core challenge here.

My approach: backend in Node.js/TypeScript with an event-driven architecture (Kafka or Redis Streams) to handle high-throughput bet placement without race conditions on odds updates. Smart contracts on an EVM chain for trustless settlement, with a relayer pattern to abstract gas from users. AI layer via a lightweight RAG pipeline pulling live odds and historical match data to serve personalized betting insights through a Next.js frontend over WebSockets for sub-second updates.

The one risk a junior misses: odds feed updates and bet submissions hitting the same window, creating stale-price accepts. I'd handle this with an optimistic lock + version check at the API layer before any on-chain write.

What odds provider are you integrating (Sportradar, BetRadar, custom feed), and is the smart contract settlement already designed or greenfield?

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