Building the future from Sydney.

The Challenge: Booking international flights is complex, and mainstream platforms often alienate non-English speakers. FarsiFly needed more than just a translation; they needed a robust Online Travel Agency (OTA) platform built natively for the Persian-speaking community, capable of handling complex multi-stop itineraries and specific payment gateways. The Solution: We architected a bespoke flight booking engine using Next.js with full Right-to-Left (RTL) engineering support. The platform integrates directly with global flight data providers (GDS), offering real-time availability, dynamic pricing, and a seamless user experience optimized for the Farsi language. The Outcome: A fast, secure, and culturally tailored booking platform that simplifies global travel for thousands of users.

The challenge was to move beyond static assistive technology and build a dynamic "Research-to-Production" platform. In partnership with Swinburne University, the goal was to create a dual-phase testing environment that could scientifically measure the impact of assistive tools on learning outcomes. We engineered a system that doesn't just display text; it reconstructs it. Utilizing a Next.js 15.5 and GPT-4 Turbo stack, the platform processes complex educational documents (PDF/DOCX) into 20 distinct cognitive aids—including mind maps, simplified summaries, and focus segments—cached permanently for near-zero latency and high cost-scalability. Key Strategic Pillars The AI Processing Engine Instead of a simple chatbot interface, we built a "Process-Once, Cache-Forever" workflow. Every piece of content uploaded by an educator is instantly atomized into: Visual Transformations: OpenDyslexic typography and custom chromatic overlays. Cognitive Scaffolding: Automated mind maps, flashcards, and 150-word "Focus Summaries." Zero-Cost Accessibility: Browser-native Web Speech API integration for word-by-word highlighted Text-to-Speech. Data-Driven Insights The platform features a sophisticated analytics dashboard for researchers and administrators. By utilizing Supabase with 55+ migration tables, we track real-time engagement and comparative performance between Phase 1 (Baseline) and Phase 2 (Assisted) testing environments, providing the empirical data needed to drive institutional change. Technical Footprint (The Studio Advantage) To ensure the platform was both "Investment-Ready" and "Production-Stable," we deployed an elite tech stack: Frontend Velocity: Next.js 15.5 with React 19 for unmatched rendering speed. Secure Infrastructure: 29 Supabase Edge Functions with Row Level Security (RLS) and AES-256 encryption. Optimized Scalability: A monthly operational cost of ~$140 for 1,000 students, ensuring a 95%+ profit margin for institutional licensing.

High-end fashion requires a high-end digital stage. Standard templates were too slow and generic for Sondos. We architected a fully custom Next.js storefront. By bypassing bulky CMS platforms, we achieved instant page loads and a 'Swiss-Style' aesthetic that puts the product first. We utilized generative AI to create on-brand model imagery, slashing photography costs by thousands.