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View All on GitHubAI Summary: Implement a complete supply prediction system for Telkom Indonesia, involving a React frontend, FastAPI backend, PostgreSQL database, and machine learning models (XGBoost, Prophet, ARIMA). The system needs to monitor 40+ STO locations across Indonesia, provide real-time data, and include robust deployment scripts, comprehensive documentation, and a complete testing suite. The project requires building a scalable and secure system ready for immediate production deployment.
Complete Telkom Infrastruktur Indonesia Supply Prediction System - Enterprise ML-powered supply chain monitoring with React frontend, FastAPI backend, and 40+ Indonesian STO locations