📧 jeevesh2107@gmail.com || 📱 +91 9599697117
An AI-powered cybersecurity dashboard with blockchain-backed alert logging. Uses a Random Forest model (92% accuracy) to detect malicious network sessions, visualised via a Streamlit dashboard with model insights and immutable Ethereum-based alert records.
🔗 View Project → AI CyberSecurity Dashboard
A centralised event platform built with Flutter and a Django backend.
Lets users create events (weddings, parties, corporate), send invites, manage co-hosts, and track RSVPs — with future AI-assisted personalisation planned.
A mobile-first e-commerce app powered by React Native + Medusa.js backend.
Includes OTP login, Razorpay payments, real-time cart sync, and address picker — designed for production use.
REST API backend with Django and PostgreSQL for CSV upload and mobile/web sync.
Handles CSV parsing, structured database writes, and scalable endpoints.
🔗 View Project → Django Backend
A full-stack ReactJS + TypeScript app with rich UI/UX.
Includes dark/light toggle, cart with localStorage, validated checkout form, and smooth custom hooks.
A secure, offline password manager built with Flask + SQLite after a real security incident.
Includes multi-user login, scoped password CRUD, and isolated user storage — all without internet dependency.
It was built to solve a personal need during CS50 and marked my leap from CLI output to full-stack apps.
🔗 View Project → Password-Manager
A lightweight markdown-based wiki system using Django + SQLite.
Create, edit, delete, and search through dynamic Markdown pages, stored with real-time local persistence.
A mobile banking prototype built with Flutter, showcasing screen navigation and modular widgets.
Includes login, card dashboard, and transactions with clean UI design.
- Flutter-Dart Mobile app development
- DRF API creation and usage
- Integrating AI to provide solutions for real challenges
💬 Want to collaborate or debug something together?
📮 DM me on LinkedIn or drop a star ⭐ on anything you liked!
“Code like a poet. Ship like a pirate.” — Me, probably