🎯 Goal: Analyze real-time production data to predict quality defects before the product is completed.
📦 Solution: ML anomaly detection + alert dashboard
⚙️ Technology: TensorFlow, Scikit-learn, Streamlit, InfluxDB
📈 Result: 35% reduction in defective products, reduced post-inspection costs
⏱️ PoC Duration: 3 weeks
Challenges: Travelling sector is developing more and more, but there are no many businesses which build successful travelling platforms to serve this demand. Because they cannot fi...
Overview The KorAir project is an integrated system for managing employee data, access control, and devices. It tracks activities like entry and exit and secures access to faciliti...
BAPWe are very pleased to answer all questions about development services at BAP.
02/08 17:54 ✓
