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adinegi8273/README.md

Grinning Face Hellow, I'm Aditya! Grinning Face

Typing SVG

About Me 👨‍💻

I'm Aditya Negi, a Full-Stack Developer who enjoys building practical, real-world applications — from offline-first attendance systems to plagiarism detectors and mental wellness platforms.

I like working across the stack, whether that's designing REST APIs, structuring databases, or building clean and functional user interfaces. I'm especially interested in projects that solve genuine problems, and I enjoy exploring how machine learning and system-level programming can make software smarter and more efficient.

Outside of web development, I have a strong interest in Operating Systems and Data Structures & Algorithms, which shows in projects like my Dynamic Shared Memory Manager.

I'm always looking to learn new technologies and collaborate on interesting projects — feel free to check out my work below or connect with me!

Programming Langs 🤓

Tools 🛠️ and Libraries 📚

Coursework 🎓

My Projects 🛠️

SyncRoll | Link | RestAPI, Python, PostgreSQL, IndexedDB

  • Designed to help faculty mark attendance even without active internet connectivity.
  • Built a Sync Engine to reconcile attendance records stored in IndexedDB with the central database.
  • Built a RestAPI backend to handle faculty login, attendance submission, and dashboard data, using bcrypt to securely hash passwords.

PlagNet | Link | HTML, CSS, NodeJS, MongoDB, Python, Machine Learning

  • Collaborated with a team of 3 to build a full-stack web app that detects plagiarism using string-matching algorithms like KMP, LCS, and Rabin-Karp on user uploads.
  • Built a Node.js server handling routing, file uploads, and authentication with MongoDB, while running Python scripts in the background for plagiarism detection and ML predictions.
  • Trained a Random Forest classifier on text data for plagiarism detection.

AI Care: Mental Wellness Platform | Link | HTML, CSS, NodeJS, MongoDB

  • Led a team of 3 members to create a full-stack web application designed to support people suffering from mental health problems.
  • Features a chatbot which provides emotional support to the user.
  • Designed a sign-up and login page for user authentication using MongoDB.

Popular repositories Loading

  1. Titanic-Distaster- Titanic-Distaster- Public

    Titanic Disaster using machine learning is a project in which i have predicted that will the passenger survives the titanic disaster or not using Random Forests, XGBoost and Logistic regression. I …

    Jupyter Notebook

  2. AdityaNegi.github.io AdityaNegi.github.io Public

    Welcome to my personal portfolio website! This project showcases my skills, projects, and professional background as a developer passionate about problem solving, machine learning, and web developm…

    HTML

  3. PlagNet PlagNet Public

    Plagnet is a platform for plagiarism detection using string matching algorithms and Random Forest classifier. Compared the accuracies of kmp, lcs and rabin karp string matching algorithms.

    HTML 1

  4. AI-Care--Your-mental-wellness-Application AI-Care--Your-mental-wellness-Application Public

    AI care is web based application which gives mental support. It features a chatbot (retrieval based), mood tracking system. It also stores the information of registered person in database (mongodb)…

    HTML 1

  5. Dynamic-Shared-Memory-Manager Dynamic-Shared-Memory-Manager Public

    A C++ systems programming project that simulates OS-level memory allocation across multiple concurrent processes, using POSIX shared memory (mmap) and process-shared synchronization (pthread_mutex_t).

    C++

  6. SyncRoll SyncRoll Public

    SyncRoll is an offline-first attendance management system designed to help college faculty record student attendance even during internet connectivity issues. When the network is unavailable, atten…

    HTML