This work concentrates on building a real-time monitoring framework that uses artificial intelligence to properly monitor essential parameters while functioning inside the restrictive submarine cabin space. Due to its constrained resources submarine cabins require accurate checks of environmental conditions. Using predictive analytics analysis and advanced sensor devices allows our system to continuously track crucial elements including air quality temperature, humidity, pressure, and dangerous gas existence. Tests of the system operate under simulated submarine conditions to perform an extensive verification procedure. The system underwent repeated testing that evaluated its performance during different operational conditions as well as rapid temperature and pressure fluctuations together with gas concentration changes. The validation tests showed excellent reliability because the anomaly detection system achieved precise accuracy levels. The system detected unsafe operating conditions in live procedures where it needed less than ten seconds to detect these deviations thus enabling fast corrective actions. Accurate monitoring of oxygen container capacity levels during missions ensured the prevention of oxygen depletion which could threaten safe operations. The latest system results demonstrate that its AI-based real-time data examination system helps identify deviations from established safe procedures in an early manner. The submarine operates as a secure living environment through its safety precautions despite ongoing air quality assessments and oxygen and environmental parameter monitoring which enables accurate oxygen level measurements compared to cylinder capacity values.