I specialize in building intelligent systems that bridge the gap between Deep Learning and Web Technologies.
Currently focused on real-time object detection and scalable backend architectures.
Road-Guard: An Intelligent Traffic Violation Detection System.
- π§ Core AI: Custom YOLOv11 model trained for Helmet Detection, Triple Riding, and License Plate Recognition.
- ποΈ Architecture: MERN Stack (MongoDB, Express, React, Node) + Python Inference Engine.
- π― Goal: Reducing road accidents through automated, real-time surveillance.
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Python |
C++ |
Java |
JavaScript |
TypeScript |
Machine Learning & Data Science
Web Development & DevOps