Predictive Maintainance using LSTM -Application based on IIoT #tinyml #edge #cAinvas #aitech

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Imagine reducing maintenance costs by up to 50% and increasing production efficiency by 20%. With LSTM-based predictive maintenance, that's a reality. By utilizing IIoT technology, we can predict equipment failure before it happens, resulting in a 70-90% reduction in downtime. Don't miss out on these revolutionary benefits for your industry. Switch to predictive maintenance with LSTM today!

cAInvas is built on no-code, low-code and full-code principles for AI applications and models derived from all popular platform like TensorFlow, keras, PyTorch and others.

cAInvas is bolstered by native integration of deepC inference framework and a compiler designed for embedded devices. It comes with python and c++ notebooks to develop end-to-end application with autoML and ensemble of ML models.

Best of all, it is free for all students, researchers and hobbyists to spread fast adoption of ML models for tiny devices. Reach out for more information:
+1-408-372-7405
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