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mohityadav8/README.md

Mohit Yadav

AI-Focused Full Stack Developer | Machine Learning Systems Builder | Open Source Contributor

Computer Science undergraduate at Chandigarh University (2024–2028). I build intelligent web applications and practical machine learning systems, with experience contributing to real open-source projects and collaborative development workflows.

Currently open to Software Development, Full Stack, and AI/ML Internship roles.


Core Skills

Languages: Python • C++ • JavaScript • C Frontend: React.js • HTML • CSS • Next.js Backend: Node.js • Express • MySQL • REST APIs AI/ML: Scikit-learn • TensorFlow • LangChain • OpenAI API • NLP Tools: Git • Linux • GitHub • VS Code


Open Source Contributions

Open Source Connect Global 2026 (OSCG '26) & Elite Coders Winter of Code 2026 (ECWoC '26)

  • Fixed deployment and configuration issues in live projects
  • Implemented features and UI improvements
  • Collaborated via pull requests and code reviews

Selected Projects

AI Malware Detection System Detects malicious files using static feature analysis with ML classification (~92% accuracy, reduced manual inspection effort). Python, Scikit-learn, XGBoost, Flask

AI Resume Analyzer (In Progress) Analyzes resumes using embeddings + LLM feedback to suggest improvements and highlight skill gaps. Python, LangChain, OpenAI API

Spam Mail Detector Real-time spam classification using NLP pipeline (TF-IDF + Logistic Regression) with GUI interface. Python, Scikit-learn, Tkinter

PTE Hub Web Portal Responsive portal for test preparation resources with structured UI and navigation. HTML, CSS, JavaScript

Secure Authentication System User authentication system with database integration and email verification workflow. Python, MySQL, SMTP


Currently Learning

System Design • Advanced Machine Learning • Backend Architecture • DevOps Fundamentals


Connect

LinkedIn GitHub LeetCode Email

Pinned Loading

  1. malwaredetector malwaredetector Public

    Machine Learning based Malware Detection system that analyzes files and predicts malicious behavior using classification algorithms and feature extraction techniques.

    Python 2

  2. leaarneasycode-website leaarneasycode-website Public

    A responsive login and registration popup UI built using HTML, CSS, and TypeScript. The project demonstrates type-safe DOM manipulation, smooth UI interactions, and a structured frontend setup suit…

    CSS 4

  3. Huffman-File-Compressor Huffman-File-Compressor Public

    Lossless file compression & decompression tool using Huffman Coding in C++ with bit-level encoding and tree reconstruction.

    C++ 2

  4. spam-mail-detector- spam-mail-detector- Public

    A machine-learning–based Spam Mail Detector built using Python, Logistic Regression, and TF–IDF vectorization. Includes a simple GUI using Tkinter for real-time spam classification and a clean modu…

    Python 1

  5. E-Commerce E-Commerce Public

    Feature-rich responsive E-Commerce web application built with HTML, CSS & JavaScript featuring cart system, wishlist, reviews, order history, animations and localStorage persistence.

    JavaScript 1

  6. pollinations pollinations Public

    Forked from pollinations/pollinations

    Your Friendly Open-Source Gen-AI Platform

    TypeScript 1