Saidat Shittu's Work | ContraWork by Saidat Shittu
Saidat Shittu

Saidat Shittu

UI/UX & Product Designer building high-converting web apps.

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Savor Concierge. A mobile Food Delivery & AI Meal Curation App ​ ​An end-to-end mobile food delivery app designed to eliminate decision fatigue through AI-driven meal curation, seamless menu customization, and real-time order tracking. ​So I used: ​Figma to Design the high-fidelity UI screens, design system components, and interaction patterns. ​Lovable to Connect the Figma designs to build an interactive, high-resolution mobile prototype. ​Make.com (http://Make.com) for the Automated backend workflow logic and AI curation responses to power realistic data flows.
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Cover image for Savor, AI Powered Food Concierge
Savor, AI Powered Food Concierge and Curation App (WIP) Designing and building Savor, an AI-driven food concierge mobile web app designed to eliminate meal decision fatigue ​This work-in-progress showcase covers 1) Design and motion Systems, taking static product flows from concept to interactive 3D motion prototypes ahead of full React deployment. ​ 2) ​UI/UX Design: designed in Figma, covering a complete 4-screen MVP core user flow (Discovery Home, AI Preference Modal, AI Curation Results, and Checkout). 3) ​3D Asset Generation and Motion Graphics: Rendered high-fidelity 3D device mockups in Rotato, animating camera paths and transitions for WIP documentation and product demonstration. I also generated custom AI food visuals to elevate item display quality over default stock assets.
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Oud Horizon. A Cinematic Lighting and Luxury E-Commerce Hero Concept A cinematic motion concept showcasing atmospheric lighting, high-contrast product staging, and elegant luxury branding Made for premium DTC e-commerce hero sections and launch landing pages to elevate brand perception and increase dwell time. ​
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RehabBridge CP. AI-Assisted Rehabilitation Dashboard I built it based on the World Health Organization's ICF framework, RehabBridge CP simplifies complex pediatric therapy tracking for caregivers of children with cerebral palsy. ​I focused on ​Accessible data structure for daily care milestone logging ​AI-guided rehabilitation exercise suggestions ​High-legibility UI designed to reduce cognitive overwhelm Live Prototype: https://rehabbridgecp.lovable.app/
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