AI-Driven Predictive Maintenance for Marine Vessels

Our startup is seeking a skilled AI & Machine Learning expert to develop a predictive maintenance solution tailored for the maritime industry. The objective is to create a system that utilizes predictive analytics and computer vision to monitor the condition of critical equipment on marine vessels, such as engines and propulsion systems. By analyzing historical and real-time data, the system will predict potential failures and maintenance needs, allowing for timely interventions and minimizing unplanned downtime. The solution should incorporate technologies such as TensorFlow or PyTorch for model development, and OpenAI API for integrating advanced analytics capabilities. The outcome will be a robust, scalable tool that enhances operational efficiency, reduces costs, and extends the lifespan of marine equipment. The project is expected to be completed within 4-6 weeks, given the high urgency due to competitive pressures in the maritime sector.