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Achievement: Pull Shark

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Achievement: Pull Shark

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Juhi4433/README.md

Juhi Parmar 💻

I am a Computer Science student passionate about software engineering, data structures, and intelligent systems. I love bridging the gap between complex logic and robust software solutions.

🚀 Projects & Contributions

  • 🛠️ Project-Ripple: Built an AI-accelerated graph-theoretic topology engine designed to map structural gravity, isolate blast radius thresholds, and enforce architectural integrity guardrails across distributed codebase modernizations. Fully audited and optimized via IBM Bob agent workflows.
  • 📱 smartphone-addiction-knn: Developed a smartphone addiction analysis model using KNN classifiers—achieving 88% accuracy on binary detection and 51% on severity classification, complete with detailed exploratory data analysis (EDA) visualizations.
  • 🌐 Open Source: Actively exploring the ecosystem and trying to figure my way around open-source contributions.

📚 Current Focus

  • ⚡ Actively learning Data Structures & Algorithms using Java.
  • 🤖 Deepening knowledge in Machine Learning & Deep Learning frameworks in Python.

💻 Tech Stack & Tools

  • Languages: Java, Python, C, HTML/CSS, JavaScript
  • Data Science & ML: Scikit-Learn, NumPy, Pandas, Matplotlib

Pinned Loading

  1. Project-Ripple Project-Ripple Public

    An AI-accelerated graph-theoretic topology engine designed to map structural gravity, isolate blast radius thresholds, and enforce architectural integrity guardrails across distributed codebase mod…

    Python 1

  2. smartphone-addiction-knn smartphone-addiction-knn Public

    Smartphone addiction analysis using KNN classifiers — binary detection (88%) and severity classification (mild/moderate/severe, 51%) with EDA visualisations. Built with Python, Scikit-learn & Matpl…

    Jupyter Notebook

  3. Productivity-Dashboard Productivity-Dashboard Public

    A basic productivity dashboard using HTML, CSS, and JavaScript

    CSS