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yuvraj0412s/README.md

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Full-Stack Developer & AI/ML Enthusiast

I build intelligent, high-performance web applications using Python and Django, with a focus on turning raw data into impactful insights. I'm a recent Computer Science graduate from Manipal University Jaipur, passionate about solving real-world challenges with technology.

✨ My AI Native Portfolio & Live Stats

🚀 Explore my full portfolio and projects at: yuvraj.bio

YouTube    LinkedIn    Twitter    Dev.to

GitHub Followers Profile Views

📌 Pinned Project: AI-Powered Django E-commerce Platform

My flagship project is a complete e-commerce website featuring a Content-Based AI Recommendation System. The core similarity algorithm is optimized with Cython for C-level performance, and the site includes a dynamic, AJAX-powered cart and a full user feedback loop.

View the Project Repository 👈 (Note: Please update this link if your repo has a different name.)

🛠️ My Tech Stack

Python Django Pandas Numpy Cython JavaScript

🏆 Achievement

GitHub Star Badge

📫 Connect With Me

Let's talk about tech, projects, or exciting opportunities!

Yuvraj Portfolio Yuvraj Singh LinkedIn Yuvraj Singh Email

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  1. ai-native-portfolio ai-native-portfolio Public

    The AI-native portfolio — this one talks back.

    TypeScript 9 2

  2. AgroAI AgroAI Public

    AgroAI: Snap a leaf, get a diagnosis! This AI-powered web app detects 38 plant diseases with 96% accuracy and gives instant tips on symptoms, causes, and treatment—making plant care smarter and eas…

    HTML 1

  3. holohype holohype Public

    A full-stack Django E-commerce web app with a Cython-optimized recommendation engine for fast, personalized product suggestions.

    Python 1

  4. YouTube_clone YouTube_clone Public

    YouTube UI Clone - Pure HTML/CSS replica with responsive grid, interactive sidebar & CSS animations | Demonstrates advanced frontend fundamentals

    HTML 1

  5. Proactive-fraud-detection-using-machine-learning Proactive-fraud-detection-using-machine-learning Public

    An end-to-end machine learning project for detecting financial fraud using LightGBM, featuring in-depth EDA, advanced feature engineering, and a focus on actionable business insights.

    Jupyter Notebook 1