“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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Aug 8, 2024
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industry4-0
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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.
flask data-science machine-learning python3 data-analysis lime explainable-ai counterfactuals smote-oversampler catboost-classifier industry4-0 stratified-k-fold
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Dec 18, 2024 - Jupyter Notebook
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