Freelancers using SQLite in Hyderabad
Freelancers using SQLite in Hyderabad
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Ali Ghulam Hussain
Hyderabad, Pakistan
Full-Stack Developer | React, Node.js | SaaS & AI Systems
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Full-Stack Developer | React, Node.js | SaaS & AI Systems
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E-Commerce Website for Tech Accessories (South Africa) Designed and developed a full-stack e-commerce website for a South African client selling premium tech accessories. The platform supports complete online shopping workflows with a modern, responsive UI and a secure admin dashboard for business operations. Customer features include product browsing, search and filters, cart and checkout system with Cash on Delivery, shipping rules, order confirmation, and dark mode support. Admin panel features include product, category, and order management, revenue statistics, stock tracking, and an AI-powered product description generator. React + TypeScript, Tailwind CSS, Node.js, Express, SQLite, JWT Authentication Live Website: https://ukshop.co.za/
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Here’s another project I built: A Restaurant & Fast Food Management System designed to streamline daily operations and improve efficiency for restaurants. Key features: Admin dashboard for overview and analytics Menu management with deals and promotions Order management including advance orders and slip generation Employee management with salary and advance tracking Expense management Detailed reports and stats: daily, weekly, yearly, this system reduces manual work, improves staff management, and provides actionable insights for business growth.
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Designed and developed a web-based Pharmacy Store Management System to streamline daily operations. The system manages inventory, suppliers, credit customers, sales, expenses, and reporting through a centralized dashboard. It helps pharmacy owners reduce manual record-keeping, track stock accurately, and improve financial visibility.
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Designed and developed a Face Recognition System to automate attendance and user identification. Users are enrolled with their face data, and the system accurately recognizes individuals for attendance, access, or verification purposes. The platform is scalable and can handle multiple user roles. Key features: Face enrollment and recognition using TensorFlow and face-api.js Multi-role support (admin, staff, students/users) Web-based dashboard for monitoring attendance and verification Real-time notifications and reporting Secure authentication and role-based access Deep learning: TensorFlow + face-api.js integration Deployment, testing, and system maintenance
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