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sahu-adityaVinayak/README.md

Hey there, I'm Aditya Vinayak Sahu ๐Ÿ‘‹

Typing SVG

LinkedIn Gmail GitHub


๐Ÿง  About Me

const aditya = {
  name:        "Aditya Vinayak Sahu",
  education:   "B.Tech CSE @ SRM Institute of Science & Technology",
  role:        "MERN Full Stack Developer",
  learning:    ["Artificial Intelligence", "Machine Learning"],
  stack:       ["MongoDB", "Express.js", "React.js", "Node.js"],
  languages:   ["JavaScript", "Python", "C++", "HTML", "CSS"],
  interests:   ["Web Development", "AI/ML", "DSA", "Open Source"],
  location:    "India ๐Ÿ‡ฎ๐Ÿ‡ณ",
  funFact:     "I debug with console.log and I'm not ashamed ๐Ÿ˜„"
};

๐Ÿš€ What I'm Up To

  • ๐ŸŒ Building full-stack web apps with the MERN Stack (MongoDB, Express, React, Node)
  • ๐Ÿค– Diving into Artificial Intelligence & Machine Learning
  • ๐Ÿงฉ Solving Data Structures & Algorithm problems daily
  • ๐Ÿ“š Sharpening skills in React.js, REST APIs & System Design
  • ๐ŸŽฏ Open to internships, collaborations & open-source contributions

๐Ÿ› ๏ธ Tech Stack

Frontend

React HTML5 CSS3 JavaScript TailwindCSS

Backend

Node.js Express.js

Database

MongoDB MySQL

AI / ML

Python TensorFlow scikit-learn NumPy Pandas

DSA & Languages

C++ Python

Tools & Platforms

Git GitHub VS Code Postman Jupyter


๐Ÿ“Š GitHub Stats


๐Ÿ† GitHub Trophies

trophy


๐Ÿ“ˆ Contribution Graph

Aditya's github activity graph


๐ŸŽฏ Skill Proficiency

๐ŸŒ MERN Stack (MongoDB+Express+React+Node)  โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘  90%  โœ… Proficient
๐Ÿงฉ Data Structures & Algorithms            โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘  65%  ๐Ÿ”ฅ Active
โš›๏ธ  React.js & Frontend                     โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘  80%  โœ… Proficient
๐Ÿ–ฅ๏ธ  Node.js & Express (Backend)             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘  80%  โœ… Proficient
๐Ÿค– AI & Machine Learning                    โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘  45%  ๐Ÿ“– Learning

๐Ÿ’ซ Coding Profiles

LeetCode GeeksForGeeks


๐Ÿ“ซ Let's Connect!

"First, solve the problem. Then, write the code." โ€” John Johnson

LinkedIn Email

Visitor Count


โญ If you find my work interesting, feel free to star my repositories! โญ

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  1. Skin-Disease-Classification-CNN Skin-Disease-Classification-CNN Public

    An AI-powered web app using MobileNet (CNN) and Flask to classify dermoscopic skin lesions as Malignant or Benign with 90% accuracy.

    HTML