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Developed a web-based Urban Garbage Management System to streamline garbage collection and complaint management. Built role-based access for citizens, municipality officers, workers, and administrators, enabling complaint registration, task assignment, garbage collection tracking, status updates, and progress monitoring. Implemented the frontend using HTML, CSS, and JavaScript, with PHP and MySQL for backend and database management.
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💧 AQUAÉRA India — Premium Water Purification, Reimagined
Designed & developed a modern UI/UX-focused website for AQUAÉRA India, a premium water purification brand serving residential, corporate, and hospitality sectors.
The goal was to create a digital experience that feels clean, premium, and trustworthy while making product discovery and lead generation simple.
✨ Key Highlights
• Clean, premium light-theme design
• Mobile-first responsive experience
• Dedicated solutions for Home, Office & Hotel
• Smart product selection & lead capture
• One-tap WhatsApp & calling
• Consistent typography and visual design system
• Fast-loading, zero-bloat architecture
🛠️ Technology & Build
Frontend: HTML5 · Semantic HTML · Modern CSS3 · CSS Grid · Flexbox
Interactions: Vanilla JavaScript (ES6+) · Dynamic Form Logic · Smooth UI Interactions
Design System: Plus Jakarta Sans · Inter · CSS Custom Properties · Responsive Design
Performance: Zero-Bloat Architecture · Optimized Assets · Mobile-First Performance
Deployment: Vercel Edge Network · Zero-Config Static Architecture
🔗 Live Demo: https://aqua-ra.vercel.app/
💻 GitHub: https://github.com/HimanshuGehlot18/AQUA-RA-
The result: a fast, polished, conversion-focused experience built around simplicity, performance, and trust.
Clean design. Fast experience. Better conversions. 💧
The smart product selector is the part I'd test first. I'd show why it recommends a model for a home, office, or hotel, so the buyer reaches the lead form knowing what they are asking about.
Check this....
Mahashivratri – Interactive 3D Spiritual Web Experience ✨
I recently built an interactive 3D web experience inspired by the spirit of Mahashivratri and the journey of the 12 Jyotirlingas. The project focuses on combining modern web technologies with visual storytelling to create...
The transition from the Devanagari title into the star-filled space gives the experience a clear sense of ritual and scale; the restrained gold-on-black contrast makes the focal moment land.
just shipped the core of Skillship — an AI-powered LMS built for schools.
One platform, many schools, and one rule that shaped every decision: School A must never see School B's data. Tenant-scoped models, filtered querysets at the base class, UUIDs everywhere.
Four AI features live:
— Career Pilot: personalised career paths for students
— Question generator: chapter PDF in, board-aligned MCQs out
— Adaptive quizzes: difficulty follows actual performance
— Semantic search: teachers ask in plain English, pgvector finds the material
Django + DRF for the LMS core, a separate FastAPI service for all AI work (Gemini + a pgvector RAG pipeline), Next.js 14 on the front. Django brokers every AI call — the AI layer never touches the browser.
The hard part wasn't the AI. It was making multi-tenancy boring enough that no future dev can leak a school's data by accident.
Open for new work — full-stack builds, AI integrations, RAG pipelines, multi-tenant SaaS. Send me a project.
The tenant boundary is where I'd put the first failure test. I'd try to make a user from one school retrieve another school's record before I trusted any of the AI features.