apex aim assit

Instance and panoptic segmentation using yolov9 in onnx

Yolo v5 with CPP

A cutting-edge deep learning project that combines YOLOv11 (for real-time object detection) with SAM2 (Segment Anything Model) to accurately detect and segment tumors in medical images. Designed for high precision in healthcare diagnostics and research applications.

A YOLOv8 based project for real-time traffic density estimation. It employs fine-tuned vehicle detection models to analyze and count vehicles per frame, aiding urban traffic management and planning. The repository includes model training, traffic intensity analysis, and deployment strategies.

Some useful and common scripts for future use

An IoT solution for automating environmental management using real-time data from sensors and actuators, accessible via a responsive web app and Grafana dashboards.