THERMOS AI is an AI-powered thermal optimization and anomaly detection system for data centers. It uses machine learning to detect thermal anomalies and inefficiencies using simulated sensor data, with a visual UI prototype built using Lovable.
- Real-time heatmap generation of simulated server room
- ML-based anomaly detection from temperature and energy usage data
- Visual metrics dashboard (temperature, energy, CPU usage)
- Simulated manual controls for airflow adjustments
- Interactive UI prototype via Lovable
- Python (machine learning and simulation scripts)
- Bash
- LovableAI (Used to create the MVP dashboard)
- 🔗https://thermos-ai-dashboard.lovable.app/
- tensorflow
- numpy
- matplotlib
- pandas
- seaborn
- scikit-learn