Build an intelligent automated stock management solution using RFID and Machine Learning: real-time product tracking, inventory management platform, forecasting, anomaly detection (theft/errors/over-consumption), and interactive dashboards with alerts.

Responsibilities:

• Integrate RFID readers/tags with backend services
• Implement real-time inventory tracking and reconciliation
• Develop ML models for demand forecasting and anomaly detection
• Build dashboards for visualization and alerting

Tech stack:

• Java, Spring Boot, REST API; TypeScript, Angular
• MySQL; Python (scikit-learn, TensorFlow)
• RFID readers and tags

Deliverables:

• End-to-end IoT + ML inventory system with dashboards
• Model evaluation and MLOps-ready pipelines (basic)