Binance Coin Tracker

I’m building a full-stack application that applies an AI layer directly to Binance Coin activity. The main purpose is to capture every BNB transaction for chosen wallet addresses, learn from that history, and surface useful insights in a clean, responsive dashboard.

Key deliverables:
• Backend that connects to Binance Smart Chain (direct node or API) and stores confirmed BNB transactions in a database.
• AI module—Python, TensorFlow or similar—that detects patterns in the recorded history and flags unusual movements automatically.
• Modern web front end (React, Vue, etc.) displaying the searchable transaction history plus the model’s alerts.
• REST or GraphQL layer so the data can be consumed by future mobile clients.
• Deployment script or Docker setup so I can spin up the entire stack on my own server with a single command.

Acceptance criteria:
1. Entering any wallet address returns its complete BNB transaction history (hash, value, party, timestamp).
2. The AI classifies at least 90 % of transactions into “typical” or “anomaly” based on learned behaviour.
3. All services run locally after one Docker build without manual tweaks.

Experience with Binance Smart Chain, Web3 libraries, Python-based AI frameworks, and modern JavaScript stacks will be essential. I’m open to further enhancements—real-time price overlays or portfolio summaries, for instance—but the transaction-history-driven AI analysis remains the core deliverable.

Feel free to ask for clarifications; I’m ready to get this moving quickly.