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jayantshringi/README.md

Hi, I'm Jayant Shringi 👋

Front‑End Developer • Security-Aware Engineer • BCA (AI) Student at NIMS University

Portfolio The Shringi Studio LinkedIn Email

Open to Work

👨‍💻 About Me

I build clean, responsive interfaces and robust AI tools, treating security and performance as core components of the build, not an afterthought.

  • 🎨 Check out my creative & digital work: The Shringi Studio
  • 🔭 Currently building: aria-local-agent — a fully private, local-first personal AI assistant Owner level: Intermediate developer Hard rule: No user data ever leaves the owner's machines. No cloud LLM APIs, no telemetry, no third-party analytics.
  • 🔬 Research & Innovation: Developing ML Model Compression prototypes (recently approved by NIMS Patents Office) and contributing to egocentric data initiatives (Project Bumblebee) with Deccan AI Experts.
  • 🌱 Leveling up in: Advanced OWASP mitigation, Burp Suite, and network traffic analysis.
  • ⚡ Leadership & Community: Organizing Team Head for IEEE Delhi Section SAC (180+ participants) and spearheading the proposal for OCTA TECH EVENT at NIMS.
  • 🤝 Open to: Internships, freelance work, and entry‑level/full‑time roles in Front‑End, AI integration, or security‑adjacent engineering.

🛠️ Tech Stack

Frontend HTML5 CSS3 JavaScript Tailwind CSS React Next.js Framer Motion Zustand

Data, Machine Learning & Cloud Python Scikit-learn Flask Streamlit Firebase Vercel Docker

Security & Tools Linux Wireshark OWASP Git VS Code

🚀 Featured Projects

🛡️ InboxSentinel

AI email spam & phishing detector — TF‑IDF + Logistic Regression, trained on 164,970 emails across 7 public datasets, 98.3% accuracy, CLI tool with confidence scoring. Python Scikit-learn NLP Cybersecurity Repo →

🛒 Modern E‑Commerce Frontend

Animated, accessible shopping interface with modular components, fluid transitions, and persistent cart state. Next.js React Tailwind CSS Framer Motion Zustand Live Demo → · Repo →

🔐 Anomaly‑Based Intrusion Detection System

Real‑time ML‑powered IDS using an Isolation Forest model, with a live web dashboard. Python Scikit-learn Flask Machine Learning Live Demo → · Repo →

🌾 AgriFarmers – SIH 2025 Prototype

Offline‑ready, multi‑lingual PWA connecting farmers to weather analytics and seed recommendations, built for Smart India Hackathon. JavaScript PWA Firebase Tailwind CSS Live Demo → · Repo →

📜 Certifications

  • 🏅 Introduction to Front‑End Development — Meta, Coursera (Mar 2026)
  • 🛡️ Foundations of Cybersecurity — Google, Coursera
  • 🚀 Generative AI Mastermind Program — Outskill (Jan 2026)
  • 🤖 NASSCOM Generative AI — nasscom (Mar 2026)
  • 🛠️ GitHub Tutorial for Beginners — Great Learning (Jan 2026)

📊 GitHub Stats

Jayant's GitHub Stats Top Languages

🌐 Connect With Me

"Strive not to be a success, but rather to be of value." — Albert Einstein

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  1. AgriFarmers AgriFarmers Public

    AgriFarmers - Revolutionizing Indian agriculture through technology. A multi-lingual platform providing farmers with 🌱 Multi-language support • Weather analytics • Seed recommendations 💻 HTML5, CSS…

    JavaScript

  2. Anomaly-Based-IDS Anomaly-Based-IDS Public

    A real-time, Machine Learning-powered Intrusion Detection System (IDS) built with Python. Uses an Isolation Forest model for anomaly detection and features a sleek real-time web dashboard.

    Python

  3. Atishay-OrganicSoap Atishay-OrganicSoap Public

    A functional frontend prototype for an interactive personalized soap e-commerce store built with React/Next.js and Tailwind CSS.

    JavaScript

  4. Campus-Utility-Hub Campus-Utility-Hub Public

    A comprehensive, production-grade MERN stack campus utility dashboard featuring 8 independent modules built entirely via dynamic DOM manipulation, complex algorithmic logic, and zero external API d…

    JavaScript

  5. Portfolio Portfolio Public

    A personal developer portfolio built with the MERN stack during my MERN Impact Training program.

    HTML

  6. python-ml-visual-notes python-ml-visual-notes Public

    Comprehensive, interactive notes covering the end-to-end Machine Learning lifecycle in Python—from Jupyter Notebook basics to complex Polynomial Regression visualizations.

    HTML