https://github.com/code-taweezy/thermos-ai
An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP
https://github.com/code-taweezy/thermos-ai
ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow
Last synced: about 1 month ago
JSON representation
An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP
- Host: GitHub
- URL: https://github.com/code-taweezy/thermos-ai
- Owner: Code-Taweezy
- Created: 2025-05-07T06:31:52.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-05-07T08:46:44.000Z (about 1 month ago)
- Last Synced: 2025-05-08T02:51:54.740Z (about 1 month ago)
- Topics: ai, case-study, data-visualization, lovable-ai, machine-learning, matpplotlib, mvp, numpy, pandas, project, python, sckiit-learn, seaborn, solution, tensorflow
- Language: Python
- Homepage: https://thermos-ai-dashboard.lovable.app/
- Size: 14.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# THERMOS AI 🔥💻
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.
---
## 🌟 Features
- 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
## 🧠Tech Stack
- Python (machine learning and simulation scripts)
- Bash
- LovableAI (Used to create the MVP dashboard)
- 🔗https://thermos-ai-dashboard.lovable.app/
---
### ✅ Requirements
- tensorflow
- numpy
- matplotlib
- pandas
- seaborn
- scikit-learn