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  • Thapar Institute of Engineering and Technology
  • Patiala, Punjab, India
  • in/mehakgarg007

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Mehak1314/README.md

Hi πŸ‘‹, I'm Mehak Garg

Aspiring Software Developer | Full-Stack Developer | Problem Solver


πŸ‘©β€πŸ’» About Me

  • πŸŽ“ Computer Engineering student at Thapar Institute of Engineering & Technology
  • πŸ’» Interested in Software Development, Full-Stack Web Development, and Problem Solving
  • 🌱 Developing expertise in Full-Stack Development with React, Node.js, Express.js, and Database Technologies
  • πŸš€ Building scalable, user-focused applications while strengthening my software engineering fundamentals
  • πŸ‘¨β€πŸ’» Check out my projects: GitHub
  • πŸ“š Continuously learning modern technologies and industry best practices

πŸ› οΈ Technical Skills

Languages: C, C++, JavaScript

Frontend: HTML, CSS, React.js, Responsive Design

Backend: Node.js, Express.js

Tools & Technologies: Git, GitHub, Arduino

Currently Learning: Database Management Systems, REST APIs, System Design


πŸ“Š GitHub Statistics

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πŸ”— Connect With Me


🎯 Career Objective

Aspiring Software Developer with a strong foundation in web development and problem-solving. Seeking opportunities to apply and expand my skills in software engineering, full-stack development, and scalable application design while contributing to impactful projects and collaborative teams.


⭐ Open to Software Development, Full-Stack Development, and Internship Opportunities.

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  1. PeepTalk PeepTalk Public

    PeepTalk is a real-time chat web application that enables users to send and receive instant messages seamlessly. It’s designed as a lightweight and modern communication platform with a clean, respo…

    HTML

  2. Pureflow-Monitor Pureflow-Monitor Public

    Smart water quality monitoring system built using SQL with triggers, views, and real-time analysis.

    JavaScript

  3. Smart-Building-Energy-Analysis Smart-Building-Energy-Analysis Public

    A machine learning project that analyzes building energy consumption patterns using Principal Component Analysis (PCA) and K-Means clustering to identify usage trends and improve energy efficiency.

    Jupyter Notebook