Real Estate Management with Artificial Intelligence Property Management Companies are choosing Te...Real Estate Management with Artificial Intelligence Property Management Companies are choosing Te...
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Real Estate Management with Artificial Intelligence
Property Management Companies are choosing Teasers to combine their day to day operations with augmented capabilities powered by AI, enabling them to streamline processes, optimize efficiency, and make data-driven decisions
Real Estate Investors
Efficiently manage your clients' real estate portfolios with our comprehensive platform.
Family Offices
Access powerful tools to analyze and evaluate real estate investment opportunities.
process with our advanced tools.
Built using Next.js, TypeScript, Supabase, and the ChatGPT API.
Niva - AI Automation Agency Template (Contact page)
📌 What's Included
13+ fully designed pages, covering the entire buyer journey:
Home — hero, problem/solution framing, services, industries served, integrations, process, stats, case study previews, testimonials, pricing, FAQ, and final CTA
About — origin story, mission, values, team, and company stats
Services — a full breakdown of each service line with outcomes and use cases
Case Studies — a CMS-powered index plus a detailed single-case-study template (problem → approach → solution → results)
Blog — a CMS-powered index and article template, ready for SEO content
Contact — a conversion-focused form paired with direct calendar booking
404, and legal pages — Privacy Policy, Terms of Service, and Cookie Policy included
📌 Ideal For
AI automation agencies and consultancies
Workflow automation specialists and system integrators
Custom AI agent developers
AI strategy and operations consultants
Freelance automation experts positioning as a boutique agency
SaaS companies offering AI-powered services to B2B clients
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.
💧 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
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.