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ibhushani/README.md
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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.


πŸš€ Flagship Project

Road-Guard: An Intelligent Traffic Violation Detection System.

  • 🧠 Core AI: Custom YOLOv11 model trained for Helmet Detection, Triple Riding, and License Plate Recognition.
  • πŸ—οΈ Architecture: MERN Stack (MongoDB, Express, React, Node) + Python Inference Engine.
  • 🎯 Goal: Reducing road accidents through automated, real-time surveillance.

πŸ› οΈ The Arsenal

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Python
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C++
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Java
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JavaScript
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TypeScript

Machine Learning & Data Science

Web Development & DevOps


πŸ† Competitive Programming


πŸ“Š GitHub Analytics


snake achievement

πŸ“« Let's Connect

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  1. Road-Guard-Intelligent-Traffic-Violation-Detection-System Road-Guard-Intelligent-Traffic-Violation-Detection-System Public

    An AI-powered solution leveraging YOLOv11 to detect helmet compliance and license plates in real-time, creating safer roads for everyone.

  2. amnesia amnesia Public

    🧠 Enterprise-grade Machine Unlearning architecture. Surgically erases data from trained Neural Networks without retraining, providing cryptographic verification for GDPR/CCPA compliance.

    Python 3