Megha Nanjunda

I developed a real-time hand gesture recognition application using Python and OpenCV, with an Xception-based deep learning pipeline for feature extraction and classification. I tested it under different input conditions and evaluated recognition accuracy.

For my Suspicious Human Activity Detection project, I developed a real-time recognition system using video processing and deep learning. I tested it across video conditions and evaluated the detection results.

At Inventeron, I worked as a Machine Learning Intern, developing and implementing models for data analysis and evaluating model results to improve predictive accuracy.

I published Real-Time Hand Gesture Detection in IJARCCE. I'm seeking an entry-level Software Tester or QA Engineer position where I can develop practical testing and automation skills.