Three practical computer vision experiments covering OCR preprocessing, object detection and segmentation, relative depth estimation, and AI-powered interior redesign.
A computer-vision project exploring perception for autonomous-vehicle scenarios, including driver distraction and passenger posture detection.
A Big Data project using Apache Spark and PySpark to analyze e-commerce transactions, engineer RFM features, and segment customers through machine learning. It compares K-Means and Agglomerative Clustering using squared Euclidean silhouette scores and demonstrates transaction enrichment with Kafka and Spark Structured Streaming.
Description Example: Building a machine learning classifier to detect phishing emails using header metadata and NLP features.