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Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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Agent-A345/README.md

💫 About Me:

I’m an AI/ML-focused IT undergrad who builds end-to-end AI applications. My interests include RAG, multimodal AI, and explainable ML, and I’ve published IEEE work on applied systems. I enjoy experimenting fast, measuring results, and turning ideas into usable tools.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

C C++ CSS3 HTML5 Java JavaScript Python Vercel Netlify Bootstrap Django Flask JWT OpenCV Streamlit MySQL SQLite Canva Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow

✍️ Dev Quote

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  1. ARCANE ARCANE Public

    ARCANE: A Java-based encryption and decryption system using rotor-based logic, inspired by the Enigma machine, with additional cipher layers like Caesar and Vigenère. This project allows for multi-…

    Java 16

  2. NOTA NOTA Public

    A modern, feature-rich Notes Management Web Application built using HTML, CSS, and JavaScript, designed for productivity, organization, and seamless note-taking with advanced features like search, …

    CSS 14

  3. AxionCura AxionCura Public

    AxionCura is a machine learning–based early stroke prediction system that analyzes patient health attributes to estimate stroke risk. It includes a trained pipeline model and a simple Python interf…

    Python 14

  4. Snake_Game Snake_Game Public

    A modern web-based implementation of the classic Snake Game, built using HTML5 Canvas, CSS, and JavaScript.

    HTML 14

  5. Hangman_Game Hangman_Game Public

    A modern and interactive Hangman game built using HTML, CSS, and JavaScript, featuring a rich UI, multiple difficulty levels, animated gameplay, and an extensive vocabulary dataset across various d…

    HTML 14

  6. GlycoRisk-Engine GlycoRisk-Engine Public

    A Machine Learning–based diabetes prediction system built using Python and Logistic Regression. The model analyzes clinical health parameters to classify whether a patient is likely to have diabetes.

    Python 15