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๐ŸคŸ
living...
๐ŸคŸ
living...
44 followers · 23 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Starstruck

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Starstruck

Highlights

  • Pro

Organizations

@Busiman-official @The-Broken-Thread

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RanitManik/README.md

Hi๐Ÿ‘‹, I'm Ranit Manik

A passionate tech enthusiast from India

  • ๐Ÿซ Currently pursuing a Bachelor's Degree in Computer Science at CEMK.
  • ๐Ÿ’ป Open Source Contributor with a focus on GitHub.
  • ๐Ÿ“š Proficient in Full Stack Development.
  • ๐ŸŒ Visit my Portfolio to explore my projects and achievements.
  • ๐Ÿ“ Writing technical blogs on Hashnode.
  • ๐Ÿ“ง Reach me via Email or connect on LinkedIn.
  • ๐Ÿ“ Based in Mecheda, West Bengal, India.

๐—š๐—ถ๐˜๐—›๐˜‚๐—ฏ ๐—ฆ๐˜๐—ฎ๐˜๐˜€

GitHub Stats Streak Stats

๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐—ฆ๐˜๐—ฎ๐˜๐˜€

Top Languages Wakatime Stats

๐—š๐—ถ๐˜๐—›๐˜‚๐—ฏ ๐—ง๐—ฟ๐—ผ๐—ฝ๐—ต๐—ถ๐—ฒ๐˜€

GitHub Trophies

๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ

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  1. Bookify Bookify Public

    This project harnesses the capabilities of Firebase and React to provide a seamless platform for book transactions, featuring an interactive and modern design for an enhanced user experience.

    JavaScript 1

  2. CHAT CHAT Public

    A Real-Time Chat Application with React and Firebase.

    JavaScript

  3. frontendmentor.io frontendmentor.io Public

    Showcasing my front-end solutions to various challenges on https://frontendmentor.io/profile/RanitManik. Explore my projects and live demos that highlight my skills in building responsive, visuallyโ€ฆ

    CSS

  4. JavaScript-Projects JavaScript-Projects Public

    Here, I showcase the solutions to a series of projects completed during my journey as a beginner in JavaScript. Each project has its dedicated directory, containing separate HTML, CSS, and JavaScriโ€ฆ

    HTML

  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