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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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SACHIN-S-2004/README.md

 About me✌🏻 sachin-s-2004

Coding

  • 💡 I’m an MCA Student at Saintgits College of Engineering, Kerala, India

  • 🔐 I’m currently into AI | Machine Learning | Deep Learning

  • 💻 Interested in Web Development and Applied AI, designing and deploying intelligent systems using Machine Learning and Deep Learning

  • 🛡️ Planning to dive into Cybersecurity after mastering the ML & DL stack

  • 🚀 Passionate about bridging AI and real-world problem solving

  • 🌱 Always learning — currently exploring model deployment and MLOps practices


GitHub followers


💻 Tech Stack

🗣️ Languages
c    cplusplus    java    python    r

🎨 Frontend
html5    css3    javascript    react    nextjs    tailwindcss    bootstrap    vite

⚙️ Backend
nodejs    express    php    flask    dotnet

🗄️ Database
mysql    postgresql    mongodb

🤖 AI / ML
tensorflow    keras    scikitlearn    opencv    pandas    numpy    matplotlib

🚀 Deployment & Tools
aws    docker    jenkins    apache    vercel    git    npm


🚧 Projects

  • CrackIt 📝

    CrackIt is an aptitude testing platform that enables users to assess their knowledge across diverse categories and improve through targeted feedback. Designed for learners and job-seekers alike, it offers structured tests, performance tracking, and a pathway to continuous growth.

    React Node.js Express.js MongoDB JWT

  • Framzy 🎞️

    Framzy is a wallpaper exploration hub that lets users explore, search, and download high-quality images across diverse categories. Designed for personalization and aesthetics, it offers curated collections, responsive browsing, and a seamless experience with dark/light mode and animated backgrounds.

    React Node.js Express.js MongoDB TailwindCSS

  • BeneFit 💪🏻

    BeneFit is an AI-powered personalized diet and fitness recommendation system that combines machine learning with medical rule-based logic to deliver safe, goal-oriented nutrition plans. Built using PHP, Flask, and MySQL.

    PHP Flask MySQL scikit-learn Python

  • Facial-Emotion-Recognition 😊

    This Facial Emotion Recognition system is a high-performance PyTorch CNN and Flask application that classifies seven human emotions in real-time. Designed with a modern Glassmorphism UI, it supports live camera feeds, images, and video files, utilizing OpenCV for automated face detection and intelligent preprocessing.

    Flask Pytorch OpenCV Python CNN

  • Image-Compression 🖼️

    A modern Flask web application built with Flask, OpenCV, and Scikit-Learn. It applies K-Means clustering to reduce color complexity, significantly shrinking file size while preserving visual quality, with live preview and compression statistics.

    Flask OpenCV scikit-learn Python K-Means


📊 GitHub Stats



🌐 Socials

LinkedIn email

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  1. CrackIt CrackIt Public

    CrackIt is an aptitude testing platform that enables users to assess their knowledge across diverse categories and improve through targeted feedback. Designed for learners and job-seekers alike, it…

    JavaScript

  2. Framzy Framzy Public

    Framzy is a wallpaper exploration hub that lets users explore, search, and download high-quality images across diverse categories. Designed for personalization and aesthetics, it offers curated col…

    JavaScript

  3. BeneFit BeneFit Public

    BeneFit is an AI-powered personalized diet and fitness recommendation system that combines machine learning with medical rule-based logic to deliver safe, goal-oriented nutrition plans. Built using…

    PHP

  4. QGen QGen Public

    QGen is a web-based application designed to assist educators in creating, organizing, and managing question repositories, as well as generating question papers for educational institutions.

    PHP

  5. Image-Compression Image-Compression Public

    A modern Flask web application built with Flask, OpenCV, and Scikit-Learn. It applies K-Means clustering to reduce color complexity, significantly shrinking file size while preserving visual qualit…

    Jupyter Notebook

  6. Facial-Emotion-Recognition Facial-Emotion-Recognition Public

    Real-time facial emotion recognition system built with PyTorch CNN and Flask. Detects 7 emotions from live camera feeds, images, videos, and GIFs with high accuracy using advanced face detection.

    Jupyter Notebook