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dhriti09/README.md

πŸ‘‹ About Me

I am a Final Year Computer Science and Engineering student at United Institute of Technology, Prayagraj, with a strong interest in software development, product design, artificial intelligence, and problem-solving.

I enjoy turning ideas into working solutions across full-stack applications, machine learning, computer vision, and UI/UX design.

Open To

  • Software Development Opportunities
  • Full Stack / Frontend Roles
  • AI / Machine Learning Roles
  • UI/UX / Product Design Opportunities
  • Engineering Internships & Open Source Collaboration

πŸ’» Tech Stack

🌐 Web Development & Design

HTML5 CSS3 JavaScript React Bootstrap Tailwind CSS Figma Canva Photoshop

βš™οΈ Backend & Database

Node.js Express.js Flask Spring Boot PHP MySQL MongoDB SQLite

πŸ€– Data, AI & Machine Learning

Python Pandas NumPy Scikit-Learn XGBoost OpenCV MediaPipe Streamlit Google Gemini API

πŸ› οΈ Programming Languages & Tools

C C++ Java Git GitHub Postman VS Code Render Netlify Vercel


πŸš€ Featured Projects

πŸ“š LearNova – Online Learning Platform
  • Stack: MongoDB, Express.js, React.js, Node.js
  • Highlights:Β  Β  * Built RESTful APIs for user and course management. Β  * Implemented role-based workflows for students and instructors. Β  * Designed a responsive React.js frontend connected to a Node.js/Express.js backend.
πŸ“– Library Management System
  • Stack: Flask, SQLite, Bootstrap 5
  • Highlights:Β  Β  * Implemented database operations and server-side routing with Flask and SQLite. Β  * Added session handling for user-specific actions and a responsive Bootstrap UI.
πŸ– AI Gesture Volume Control
  • Stack: Python, OpenCV, MediaPipe, Pycaw, NumPy
  • Highlights:Β  Β  * Real-time hand landmark detection using MediaPipe to control Windows system volume via finger distance tracking. Β  * Repository Link
πŸ“° Fake News Detector
  • Stack: Python, Scikit-Learn, TF-IDF, Streamlit
  • Highlights:Β  Β  * Classified news articles using NLP text preprocessing and Scikit-Learn models. Β  * Live Demo
🚧 Hyperlocal Festive-Aware Demand AI (WIP)
  • Stack: Python, Pandas, NumPy, Scikit-Learn, Flask, React
  • Objective: Building an AI-powered demand forecasting system for small retailers during festive seasons.

πŸ’Ό Experience & Training

  • Artificial Intelligence Virtual Intern | IBM (June 2026 – July 2026)Β Β  Β  Applied ML workflows, text vectorization, and model evaluation using Python/Scikit-learn. Developed a Fake News Detection solution using NLP.
  • Web Developer Intern | Code Resite Pvt. Ltd. (June 2025 – July 2025)Β Β  Β  Built MERN stack applications, REST APIs, and integrated the Google Gemini API for an AI-powered code reviewer.
  • Full Stack Development Training | Digital Heroes (July 2026)Β Β 
  • Python Training | United Institute of Technology (June 2023 – July 2023)Β Β 

πŸ† Achievements & Coding Profiles

Platform / Honor Details
🧩 LeetCode 1625 Rating (200+ DSA problems solved)
⭐ CodeChef 2β˜… Coder (Peak: 1542)
πŸ† Competition Winner of E-BOX Top Coders 2025–26
🎬 Hackathon Shortlisted for Smart India Hackathon college round


πŸŽ“ Community & Involvement

  • IEEE Member β€” United Institute of Technology, PrayagrajΒ Β  Β  Contributed to technical events including ENIGMA XII and ENIGMA XIII.

πŸ“Š GitHub Analytics








🀝 Connect With Me



"Building practical solutions, exploring new ideas, and learning every day."


Pinned Loading

  1. Fake-News-Detector Fake-News-Detector Public

    A modern Machine Learning based Fake News Detection web application built using Python, Streamlit, Scikit-learn, and TF-IDF Vectorizer. The application predicts whether a news article is Real or Fa…

    Python 1

  2. gamezone gamezone Public

    "A responsive gaming hub website built with HTML, CSS, and JS."

    HTML 1

  3. my-dev-portfolio my-dev-portfolio Public

    A sleek, responsive developer portfolio featuring glassmorphism design, built to showcase full-stack projects and technical skills.

    CSS 1

  4. Gesture-Volume-Control Gesture-Volume-Control Public

    Control your Windows system volume using hand gestures β€” no mouse, no keyboard, just your fingers! Built with OpenCV and Mediapipe for real-time hand tracking.

    CSS 1