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Fall Detection System (Graduation Project)
AI-powered remote care with wearable IoT.
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Projects
A broader look at implementation depth, technical decisions, and the kind of end-to-end product thinking I like bringing to real projects.
Deep Dives
Beyond project cards, these summaries highlight the challenge, engineering approach, and result behind selected work.
Case Study
An end-to-end system that links an ESP32 wearable, AI fall prediction, FastAPI services, a React Native app, and caregiver workflows.
The hard part was keeping firmware, mobile provisioning, ownership rules, prediction logic, and emergency flows aligned without fragile edge cases.
The result shows strong full-product thinking across hardware, backend, mobile UX, and operational visibility.
Case Study
A real-time coding space with synchronized edits, room approvals, remote cursor presence, and integrated WebRTC communication.
The key challenge was handling concurrent edits and live signaling while keeping the collaboration flow responsive and predictable.
The project demonstrates practical event-driven architecture, concurrency handling, and production deployment discipline.
Case Study
A Next.js corporate website for Creative Industry, an Omani manufacturing company, built with full Arabic/English support and motion-rich UI.
The challenge was keeping layout, spacing, and visual rhythm consistent across RTL Arabic and LTR English while layering in animation and 3D detail without hurting mobile performance.
The result is a live client site that shows I can turn a real business's requirements into a polished, production-ready bilingual product.
Case Study
A luxury event-planning marketplace built during a SpaceTech training program, with a Next.js frontend, a .NET Clean Architecture backend, and an AI planning assistant serving customer, vendor, and admin roles — built by three sub-teams that I led.
The hardest part was keeping frontend, backend, and AI work integration-ready in parallel, agreeing on API contracts before every backend endpoint existed, while shipping three distinct user experiences at once.
The project shows I can lead a team through a multi-service, multi-role build — not just deliver frontend code, but also connect the AI planner to the app and support the backend, while making pragmatic calls that kept everyone shipping.
Projects
A curated mix of web, mobile, and connected-system projects presented with more visual rhythm and clearer technical framing.
AI-powered remote care with wearable IoT.