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Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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Khushi256/README.md

Hi, I'm Khushi Mishra

Computer Science (AI & ML) undergraduate building AI & Machine Learning applications, exploring deep learning and computer vision, and contributing to open source.

Tech Stack

Languages: C++, Python, JavaScript, TypeScript, Java

Frontend: React, Tailwind CSS, Redux, Radix UI, Framer Motion, REST APIs, WebSockets

Machine Learning: PyTorch, scikit-learn, NumPy, Pandas, Deep Learning, Transfer Learning

Cloud: Google Cloud Platform, Vertex AI, AWS ML Foundations, Vercel

Tools: Git, Postman, Figma, Vite, Zod

Featured Project

Plant Disease Detection

A deep learning pipeline for identifying plant leaf diseases from images using PyTorch and Computer Vision.

Highlights

  • Trained and compared a custom CNN and ResNet18 transfer learning model
  • Achieved 100% validation accuracy on a 10-class PlantVillage subset
  • Built a complete training, evaluation, and inference pipeline
  • Developed a Streamlit web application for real-time predictions
  • Integrated confidence scoring and top-k prediction visualization

Tech Stack PyTorch • ResNet18 • Streamlit • scikit-learn • NumPy • Matplotlib

Open Source

Processing Foundation – p5.js Website

Contributed responsive UI improvements and bug fixes to the p5.js website, helping improve accessibility and user experience across devices.

Currently Learning

  • Advanced Deep Learning
  • MLOps
  • System Design

Connect with Me

LinkedIn Twitter Email

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  1. khushi-portfolio khushi-portfolio Public

    A modern, responsive portfolio website showcasing projects and skills, built with Vite and Tailwind CSS for a fast and polished user experience.

    JavaScript

  2. GitSnap GitSnap Public

    Interactive GitHub analytics dashboard built with React, TypeScript, and Three.js, featuring real-time insights, custom visualizations, and immersive WebGL backgrounds.

    TypeScript

  3. plant-disease-detector plant-disease-detector Public

    Deep learning-based plant disease classification using PyTorch. Features a custom CNN, ResNet18 transfer learning, and a Streamlit web app for real-time leaf disease prediction.

    Python

  4. riteshkrkarn/ai-journal riteshkrkarn/ai-journal Public

    TypeScript 1