Skip to content
View prachi-kCoder's full-sized avatar
🎯
Focusing
🎯
Focusing
5 followers · 6 following
  • MyWork
  • New Delhi

Achievements

Achievement: Quickdraw

Achievements

Achievement: Quickdraw

Block or report prachi-kCoder

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
prachi-kCoder/README.md
  • 👋 Hi, I’m @prachi-kCoder
  • 👀 A passionate MERN stack developer with a strong inclination towards frontend technologies
  • 💞️ Open Source Contributor in GSSOC and GSOC 2024
  • 😄 Exploring the exciting field of machine learning, integrating intelligent features into my projects
  • ⚡ More interested in React and Three.js allowing me to craft visually stunning and interactive user interfaces, pushing the boundaries of web design with innovative 3D elements..

this was just a intro ..

Pinned Loading

  1. MindBloom-Neuro MindBloom-Neuro Public

    TypeScript 1

  2. AgriIntel AgriIntel Public

    PlantAi- Disease Detector , empowering farmers to detect diseases using AI and get related information of the diseases, early disease leads to more agricultural productivity

    HTML

  3. AIStreamX AIStreamX Public

    AiStreamX is an AI-powered platform that helps you stay updated on the latest AI trends, launches, and startups. In a fast-evolving AI world, it provides timely insights and solutions to enhance yo…

    Python

  4. CSES-BYTES CSES-BYTES Public

    This repo is dedicated to explain the programs of the CSES problem set , with explaination which is a well known for DP

  5. EcoExchange EcoExchange Public

    TypeScript

  6. MLflow-Tracking MLflow-Tracking Public

    We learned that MLflow allows us to systematically record every "experiment run" of our machine learning code. Think of each run as a single attempt to train a model with a specific set of choices.…