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tahmid-khan-hub/README.md

Portfolio Banner

👋 About Me

I'm Tahmid Khan, a third-year Computer Science student at Metropolitan University, building full-stack web apps with Next.js, TypeScript and PostgreSQL.
Recently built Betrak, a social media addiction predictor where users input behavioral data and an ML model classifies their addiction risk, handling the model training, backend in Python and the frontend end to end.
I also participate in competitive programming contests on Codeforces and CodeChef in C++. Not the most consistent, but I show up for every contest. Reached Pupil (1200+) on Codeforces and 3★ on CodeChef.

💻 Tech Stack & Tools

React Next JS NodeJS Express.js
PostgreSQL MongoDB
C C++ JavaScript TypeScript Python
TailwindCSS shadcn/ui HTML5 CSS3
TanStack Query JWT Vite Vercel Git GitHub

🌐 Portfolio

Portfolio

📊 GitHub Stats



🏆 GitHub Trophies

✍️ Random Dev Quote

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  1. Nexus-Core Nexus-Core Public

    An educational web app where students can explore courses, enroll and manage their learning journey. Built for a smooth and interactive learning experience. Focuses on clean UI/UX and course-based …

    JavaScript 1

  2. Thread-Qube Thread-Qube Public

    ThreadQube is a MERN stack forum where users can post, share, like/dislike and comment. It features role-based dashboards, admin moderation and Gold Membership via Stripe, providing a secure, inter…

    JavaScript 1

  3. KitStruck KitStruck Public

    Kitstruck is an e-commerce platform for sports fans to explore and buy authentic jerseys. It offers a smooth shopping experience, letting users browse collections, place orders and receive their je…

    TypeScript 2

  4. smart-room-fan-automation smart-room-fan-automation Public

    Smart fan automation system using Arduino that controls fan speed based on room occupancy and temperature, improving energy efficiency and comfort.

    C++ 2

  5. Betrak Betrak Public

    Betrak is a full-stack web app that assesses social media addiction using a trained Random Forest model, classifying users as Low, Medium or High risk based on their usage habits, sleep and mental …

    TypeScript 2