Muskan Pandey

I'm a

Passionate Computer Science Engineering undergraduate skilled in C++, Web Development (HTML, CSS, JavaScript, React), IoT Prototypes, SQL, and Problem Solving with Data Structures & Algorithms.

Explore My Work View My Resume

About Me

Professional Summary

Passionate Computer Science Engineering undergraduate skilled in C++, Web Development (HTML, CSS, JavaScript, React), SQL, Data Structures & Algorithms, and IoT prototypes. Experienced in building scalable web applications, developing IoT solutions, and applying problem-solving skills to real-world challenges.

Quick learner with strong communication and teamwork abilities, eager to contribute to impactful projects. Committed to continuous growth and exploring innovative technologies to deliver effective solutions.

Languages

English, Hindi

Interests

Programming, Travelling, Painting, Dancing

Technical Skills

C++

DSA, OOPS, Competitive Programming

Python

Basics, Scripting, Automation

Web Development

HTML, CSS, JavaScript

React

Components, Hooks, State Management

SQL

MySQL, SQLite

IoT

Arduino, ESP8266, Sensors, Prototyping

Projects

FormMate Chrome Extension interface showing Google Forms enhancement features

FormMate for Google Forms

• Developed FormMate, a Chrome Extension designed to enhance and streamline Google Forms usage.
• Features: Auto-fill capability, one-time setup for frequently used responses, intuitive and minimal UI, and secure local storage. Published on the Chrome Web Store to improve productivity and reduce repetitive work.

HTML CSS JavaScript Chrome Extension

Live Project

Spotify Clone

• Built a responsive Spotify clone with HTML, CSS, and JavaScript for music streaming UI.
• Features: Custom UI with homepage, playlist layout, song cards, navigation bar, and responsive design.

HTML CSS JavaScript Responsive Design

Mining Workers Safety Helmet

• Developed a safety helmet for mining workers with various sensors to enhance safety.
• Features: Includes a gas sensor for detecting harmful gases, an LDR for light detection, a buzzer for alerts, a smoke sensor, and a fire sensor to ensure comprehensive safety monitoring for miners.

IoT Sensors Arduino Safety Device

Research & Publication

Hair Fall Detection Pattern Using Deep Learning | IEEE 2024

• Built a model to detect hair fall patterns using deep learning.

Automation Script Innovation and Issues Using Deep Learning and AI | IEEE 2024

• Developed an AI tool to optimize and debug automation scripts.