Saqlain Absar Rafi
UI/UX Designer || Data Analyst || Machine Learning
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Astra AI ERP - Smart Enterprise Resource Planning Portal
I built Astra AI ERP, a next-generation Enterprise Resource Planning platform that centralizes core business operations with real-time AI intelligence.
Designed for high operational efficiency, Astra aggregates catalog inventories, sales pipelines, invoice generation, purchase orders, ledger databases, and human resources into a seamless, high-performance interface.
Key Technical Features:
🧠 Astra AI Advisor: Streamlined with Google Gemini AI for instant financial health diagnostic audits, sales forecasting, auto-generated collection emails, and interactive business advising.
🧾 Print-Perfect Engine: Optimized CSS print-media layers to export clean, standard physical commercial contract receipts without design clutters.
📦 Dynamic Portability: Features local state database migrations, JSON data backups, and configurable industry presets (Retail, Tech, Food, etc.).
🚀 Stack: React, TypeScript, Tailwind CSS, Lucide Icons, Gemini AI API
🔗 Live App Link: https://omnicore-erp-27xr.onrender.com/
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"Excited to share one of my project: a clean and modern E-commerce Landing Page design for 'Click & Buy.' 🛒✨
My goal for this design was to create a seamless shopping experience. I focused on a minimalist layout, clear navigation, and high-impact visuals to highlight the 'New Collection' and various product categories. From electronics to fashion, everything is organized to ensure a user-friendly interface.
I’d love to hear your thoughts on the layout and color palette!
#UIUXDesign #WebDesign #Ecommerce #LandingPage #UserInterface #Portfolio #ClicknBuy #GraphicDesign
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Project: The Science Archetype — Payment-Based Quiz Website (Frontend)
I recently worked on the frontend for a premium quiz-based web experience. The goal was to create a clean, distraction-free interface that leads users from an assessment to a monetized result.
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I developed a functional web-based search module for the 13th National Parliamentary Election 2026. This project involved translating a complex government information system into a clean, accessible, and responsive web interface using HTML5 and CSS3.
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