1:"$Sreact.fragment" 2:I[91389,["/_next/static/chunks/d9e0d68f528a2dc6.js","/_next/static/chunks/ea6bdb0d940bcd8e.js","/_next/static/chunks/537d354b60c3ef65.js"],"default"] 3:I[97367,["/_next/static/chunks/ff1a16fafef87110.js","/_next/static/chunks/d2be314c3ece3fbe.js"],"OutletBoundary"] 4:"$Sreact.suspense" 0:{"buildId":"bJ-pHYGFcnjokhVAm8kTC","rsc":["$","$1","c",{"children":[["$","main",null,{"className":"min-h-screen bg-[#F8F9FA]","children":["$","$L2",null,{"project":{"id":"14","title":"Predictive Maintenance","description":"IoT sensors on factory floors feed real-time acoustic and vibrational data to an AI model that predicts machine failure 2 weeks in advance.","image":"https://images.unsplash.com/photo-1451187580459-43490279c0fa?q=80&w=2072&auto=format&fit=crop","link":"/portfolio/14","category":"Manufacturing","year":"2022","duration":"7 Months","technologies":["React","FastAPI","InfluxDB","PyTorch","Docker","AWS IoT"],"features":["High-frequency IoT sensor integration capturing acoustic and vibrational signatures from CNC machines.","PyTorch LSTM model trained to detect acoustic anomaly precursors up to 2 weeks before failure.","Real-time time-series data storage and querying via InfluxDB for sub-millisecond alerting.","Individual machine health scoring dashboard with predicted remaining lifespan estimates.","Automated maintenance work order creation integrated with the client's existing ERP system.","Spare parts inventory optimization engine suggesting purchase orders based on predicted failure timelines."],"challenge":"A massive automotive parts manufacturer was suffering catastrophic financial losses from unexpected machine downtime on the assembly line. Reactive maintenance meant production halted, while scheduled maintenance was wasting perfectly good parts.","solution":"We deployed an end-to-end Predictive Maintenance platform. High-frequency acoustic and vibrational IoT sensors were attached to critical CNC machines. The real-time time-series data streams into InfluxDB, where PyTorch models identify imperceptible acoustic anomalies that precede a breakdown. The unified dashboard alerts floor managers with exactly which component is failing and exactly how much lifespan it has left.","results":["Reduced unplanned machine downtime by an incredible 75%.","Saved the facility $2.1M annually in lost production revenue and emergency repairs.","Optimized the spare parts inventory by 30% through predictive ordering.","Extended average machine operational lifespan by 15%."]}}]}],[["$","script","script-0",{"src":"/_next/static/chunks/537d354b60c3ef65.js","async":true}]],["$","$L3",null,{"children":["$","$4",null,{"name":"Next.MetadataOutlet","children":"$@5"}]}]]}],"loading":null,"isPartial":false} 5:null