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KomalGoel18/README.md

Hi , I'm Komal Goel

🧩 SDE Intern @ MintMelon • 👩‍💻 Full-Stack Dev • 🤖 AI/ML Engineer • ☁️ Cloud & Systems

🌟 About Me

  • 🎓 Pursuing B.E. in Electronics & Computer Engineering at Thapar Institute of Engineering and Technology (2022–Present)
  • 💼 Software Development Intern @ MintMelon Business Consulting LLP
  • 🛰️ Former Remote Sensing Intern — developed high-accuracy ML models for cyclone forecasting (94%) & methane emission estimation (97%) using NASA/NOAA satellite data & Google Earth Engine
  • 🧠 Strong foundation in AI, Machine Learning, Cloud Computing, DSA, OS, DBMS & NLP
  • 🏆 Research co-author — AI-powered facial recognition attendance system & patent holder for intelligent attendance automation
  • 🌱 Passionate about building scalable systems, ML models, and production-ready full-stack applications

🛠️ Tech Stack

Languages

C++ JavaScript TypeScript

Frontend

React Next.js Angular Vite HTML5 CSS3 Tailwind Framer Motion GSAP Redux

Backend & Databases

Node.js Express.js MongoDB MongoDB Atlas MySQL JWT REST API

AI / ML & Computer Vision

PyTorch TensorFlow Scikit-learn OpenCV NLP

3D & Animation

Three.js React Three Fiber

Tools & Platforms

Git GitHub VS Code Vercel Render

📌 Featured Projects

  • 🎨 Ink-Studio – Premium tattoo studio frontend with luxury UI, cinematic motion, GSAP interactions, Framer Motion, and 3D visual elements using React, TypeScript, Tailwind CSS, and React Three Fiber.
    🔗 Live Demo: https://ink-studio-preview.vercel.app/
  • 📝 NoteMark – Full-stack personal notes & bookmark manager with JWT authentication, search, tag filtering, favorites, MongoDB Atlas, and deployment on Vercel & Render.
    🔗 Live Demo: https://notemark-hub.vercel.app/
  • 🧾 Intelligent-Registration-System – End-to-end intelligent registration platform with a complete frontend UI and backend automation for validations and workflow processing.
  • ⚡ Weather-Based-Power-Load-Forecasting – ML-based system for predicting electricity demand using historical weather & consumption data for smart energy management.
  • 💻 SolveOn – Full-stack online coding platform with problem solving, code submissions, automated evaluation, discussions, and authentication.
    🔗 Live Demo: https://solve-on.vercel.app/
  • 📈 Stock-price-prediction – Machine learning project for forecasting stock price movements using preprocessing, feature engineering, regression models & visual analysis.
  • 🌐 mcts-predictor – ML model to predict win rates between Monte Carlo Tree Search variants and simulate tournament leaderboards.
  • 🏛️ Library Management System – Library management system using SQL & PL/SQL with authentication, inventory, rentals, fines, and full DB schema.

🏆 Kaggle Competitions

Celebal AnaVerse 2.0 – Advanced Analytics Challenge
Kaggle Hiring Competition by Celebal Technologies
🔗 https://www.kaggle.com/competitions/ana-verse-2-0-n/leaderboard

📊 GitHub Stats

📫 Get In Touch



Professional
LinkedIn Profile



Direct Contact
Email Me



Portfolio
Visit Website

🌍 Open to collaboration and new learning opportunities

Thank you for visiting my digital space! ⭐

If you find my work interesting, consider starring some repositories!

Pinned Loading

  1. SolveOn SolveOn Public

    SolveOn is a full-stack online coding platform, featuring problem solving, code submission, automated evaluation, discussions, and user authentication.

    TypeScript

  2. Stock-price-prediction Stock-price-prediction Public

    Stock Price Prediction using Machine Learning — includes data preprocessing, feature engineering, model training, evaluation, and visualizations for forecasting market trends.

    Python

  3. Weather-Based-Power-Load-Forecasting Weather-Based-Power-Load-Forecasting Public

    Weather-based power load forecasting system using machine learning to predict electricity demand from historical weather and consumption data for improved energy management and planning.

    Jupyter Notebook

  4. Intelligent-Registration-System Intelligent-Registration-System Public

    A modern Intelligent Registration System with client-side validations and end-to-end automation testing using Cypress.

    JavaScript

  5. NoteMark NoteMark Public

    Full-stack personal notes & bookmark manager using Next.js, Node.js, Express, MongoDB Atlas & JWT authentication.

    TypeScript

  6. mcts-predictor mcts-predictor Public

    Machine learning model to predict win rates between Monte Carlo Tree Search (MCTS) variants and simulate tournament leaderboards.

    Python