Building intelligent systems at the intersection of
Python, computer vision, and network engineering.
I'm Mohammed Akber Hussain, a Computer Science student passionate about building intelligent systems at the intersection of Python, computer vision, and network engineering. From training YOLOv10 models for real-time fire detection to simulating underwater sensor networks, I gravitate toward projects where code meets the physical world.
Currently seeking full-stack development opportunities where I can grow rapidly and build impactful products. I bring a cross-disciplinary approach — bridging machine learning, networking, and software engineering into cohesive solutions.
Real-time fire and smoke detection system leveraging YOLOv10 object detection, trained on a custom annotated dataset. Integrated with OpenCV for live video stream inference with bounding box visualisation and confidence scoring for safety-critical environments.
Simulation of an underwater acoustic sensor network modelling multi-hop packet routing, signal attenuation, and channel reliability in aquatic environments. Implemented in Python with configurable network topology and real-time performance metrics analysis.
Real-time eye blink detection using dlib's 68-point facial landmark model and OpenCV. Computes the Eye Aspect Ratio (EAR) across periocular landmark coordinates to detect and count blink events, with practical applications in driver fatigue monitoring and HCI accessibility.
AICTE · EduSkills
EduSkills
AICTE · EduSkills
Juniper Networks · EduSkills
Zscaler · EduSkills
Open to full-stack development opportunities,
software engineering roles,
and meaningful technical collaborations.