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fix(sre): plug memory leaks and implement dynamic match status for 24/7 uptime
Biswajeet Arukha
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Deploy: advanced ML architecture and Dashboard UI
Biswajeet Arukha
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v2.0: Production hardening + Premium betting dashboard
Biswajeet Arukha
- NEW: Betting analytics engine (1xbet/4rabet-style odds, prop bets, over/under)
- NEW: Centralized config.py with Pydantic Settings
- NEW: Premium unified dashboard with glassmorphism design
- FIX: JSON.parse bug in WebSocket handler
- FIX: train_efficient.py import paths and 30-match limit removed
- FIX: MLflow context scope covering all training
- FIX: Graceful degradation for Redis/DB/ML
- FIX: Lazy agent swarm initialization
- FIX: WebSocket exponential backoff reconnection
- CLEAN: Removed ~500MB unused deps from requirements
- CLEAN: Slimmed Dockerfile (removed playwright/opencv/tesseract)
- ADD: .env.example with all config vars documented
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Integration of Elite Betting Insights and Pro Dashboard
Biswajeet Arukha
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Deployment: Port 7860 and production fixes
Biswajeet Arukha
