“Won 1st prize in the Business Plan event at E-Summit, IIITDM Kancheepuram. Developed and presented a plan to transform a traditional manufacturing facility into a smart factory. Awarded ₹2500.”
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Updated
Aug 8, 2024
“Won 1st prize in the Business Plan event at E-Summit, IIITDM Kancheepuram. Developed and presented a plan to transform a traditional manufacturing facility into a smart factory. Awarded ₹2500.”
Semantic layer for industrial data integration and analytics. Based on RDF, OWL, and Industry 4.0 ontologies.
industry 4.0 survey and foodpunk sme case with bmc swot porter analysis and a digitalization roadmap
Псевдо-PWA-Клиент для раздела сайта РБК про тренды Индустрии 4.0. На самом деле это UWP-прил. ). Прототип (еще не пашет на W10M)
Automated material handling concept with layout simulation, sensor integration, and throughput analysis (~90 bars/h).
This project utilizes advanced data analysis and machine learning techniques to predict equipment failures before they occur. The goal is to detect anomalies and possible defects in equipment and processes to enable preemptive maintenance, thereby reducing downtime and costs.
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