Stayora is a full-stack, Airbnb-style accommodation booking platform built with React 18, TypeScript, and Supabase. It supports three user roles — Guest, Host, and Admin — with secure role-based access using PostgreSQL Row-Level Security (RLS). Guests can search, compare, wishlist, and book properties, while hosts manage listings, availability calendars, and dynamic pricing. The platform includes a complete booking lifecycle, secure host–guest messaging, and a verified review system with automatic rating updates via database triggers. Advanced features include price alerts, historical price trend charts, and a property comparison tool. AI-powered capabilities such as a personalized Trip Planner and smart property recommendations enhance user experience. Designed as a Progressive Web App (PWA), Stayora offers offline support, mobile-first UI, and scalable production-ready architecture

🚀 BizRadar AI-Powered Entrepreneurial Intelligence Platform BizRadar is a full-stack AI-driven market intelligence platform designed to help entrepreneurs make data-backed business decisions. It transforms raw market data into actionable insights by combining location analytics, predictive forecasting, competitive intelligence, and AI-based opportunity scoring into one unified system. The platform analyzes market dynamics across 4,000+ Indian cities to identify profitable business opportunities using structured data modeling and intelligent scoring mechanisms..

Auto Rental & Marketplace Platform is a production-ready, full-stack vehicle rental and car marketplace web application built with React 18, TypeScript, Tailwind CSS, and Supabase. It enables users to rent vehicles, buy and sell cars, compare options side-by-side, calculate EMI, save favorites, and submit reviews, all within a responsive and modern UI. The platform implements secure email/password authentication with role-based access control, protected routes, and global state management using Context API. On the backend, Supabase powers authentication, database operations, real-time subscriptions, storage, and serverless edge functions, ensuring scalability and performance. The admin dashboard provides complete business control, including vehicle management, booking tracking, user management, payments oversight, and analytics reports. Enhanced with React Query for server-state management, Framer Motion for smooth animations, and a luxury dark/gold design system, the application delivers a seamless, secure, and highly interactive user experience across all devices.

STEM-Spark is a comprehensive AI-powered, gamified, and offline-first STEM learning platform designed for students from Classes 6–12. The platform delivers adaptive learning experiences through intelligent quest-based modules that dynamically adjust difficulty based on student performance and engagement patterns. It integrates multilingual education support to ensure inclusivity and alignment with modern educational standards such as competency-based and NEP-aligned learning frameworks. The system features a robust multi-role dashboard architecture, including dedicated panels for Students, Teachers, Guardians, and Administrators. Students engage with interactive quests, earn XP, unlock achievement badges, and track progress through detailed analytics. Teachers can monitor classroom performance, create custom content, and access real-time insights. Guardians receive structured progress reports, while administrators manage system-wide analytics and user roles. A core innovation of STEM-Spark is its offline-first architecture with store-and-forward synchronization, enabling uninterrupted learning in low-connectivity environments. The platform also demonstrates peer-to-peer content sharing through the StudentNet Hub, highlighting advanced interconnectivity concepts. Built using React 18, TypeScript, Tailwind CSS, and modern PWA standards, STEM-Spark is scalable, responsive, and performance-optimized for both web and mobile environments. This project reflects a full-stack product mindset, combining AI-driven personalization, gamification psychology, distributed data synchronization, and user-centric design to create an engaging and future-ready educational ecosystem.

ResumeAI – Full-Stack AI Resume Builder • Engineered a full-stack AI-powered resume builder using React, TypeScript, and Tailwind CSS, featuring a multi-step wizard and real-time AI enhancement via secure edge functions. • Implemented Google OAuth with Row-Level Security (RLS) for multi-tenant data isolation. • Built drag-and-drop resume section reordering using @dnd-kit and dynamic template switching (3 templates) with live preview + PDF export. • Designed a three-layer scalable design system with 10 premium motion animations using Intersection Observer for scroll-triggered effects. • Architected secure server-side AI calls through a gateway to prevent client-side API key exposure. • Added frictionless demo mode to optimize onboarding and conversion.