Skip to content
View RanitManik's full-sized avatar
๐Ÿ 
Working from home
๐Ÿ 
Working from home

Highlights

  • Pro

Organizations

@Busiman-official

Block or report RanitManik

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
RanitManik/README.md

Hi๐Ÿ‘‹, I'm Ranit Manik

A Tech Enthusiast from India

  • ๐Ÿ‘จโ€๐Ÿ’ผ Frontend Developer Intern at Vitco.
  • ๐Ÿซ Pursuing a Bachelor's Degree in Computer Science at CEMK.
  • ๐Ÿ“š Proficient in Full Stack Development.
  • ๐ŸŒ Visit my Portfolio to explore projects and achievements.
  • ๐Ÿ“ง Reach me via Email or connect on LinkedIn.
  • ๐Ÿ“ Based in Mecheda, West Bengal, India.

GitHub Stats

GitHub Stats Streak Stats

Language Stats

Top Languages Wakatime Stats

GitHub Trophies

GitHub Trophies

Tech Stack


Pinned Loading

  1. CodeSnap CodeSnap Public

    CodeSnap is a simple platform for creating, running, and sharing code snippets quickly and easily.

    TypeScript

  2. Bookify Bookify Public

    This project uses Firebase and React to create a user-friendly e-commerce platform for book transactions.

    JavaScript 1

  3. CHAT CHAT Public

    A Real-Time Chat Application with React and Firebase.

    JavaScript

  4. Gemini-Clone Gemini-Clone Public

    Google Gemini Clone 2024

    JavaScript 12 5

  5. DermaDetectAI DermaDetectAI Public

    DermaDetectAI is a Flask app for detecting skin diseases using deep learning. Developed by Ranit Manik and team, it includes models for identifying 5, 10, and 23 skin conditions, and supports NVIDIโ€ฆ

    HTML

  6. Attendence-System Attendence-System Public

    Facial Recognition Attendance System. This project uses Python, Flask, OpenCV, and face_recognition to create an attendance system that recognizes faces and records attendance.

    Python