Aiza
AI/ML & Full-Stack Developer
New to Contra
Aiza is ready for their next project!
An AI-powered fake medicine detection system built with Python, PyTorch, NumPy, and OpenCV. The system processes medicine package images, extracts medicine names using OCR, and verifies them against a dataset of registered medicines to help classify products as real or fake.
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Zwitter is a Flutter-based e-commerce app for a clothing brand featuring an AI-powered virtual try-on experience. I built the shopping flow including product browsing, search, filters, product details, cart, checkout, and order management. The app also integrates 3D body scanning and an avatar-based fitting system that lets users preview clothing on a personalized virtual avatar, along with a virtual wardrobe for managing try-on outfits.
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Restomatic is a full-stack restaurant management system I built and deployed for managing menus, branches, orders, carts, table reservations, and customer interactions. I developed the Flutter web frontend with a Flask/Gunicorn backend and MySQL database, then configured Nginx for HTTPS, API reverse proxying, and SPA routing. I also handled deployment, backups, and rollback.
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HairGenie is an AI-powered haircare platform designed to provide personalized haircare recommendations. I built the full-stack application with Next.js and TypeScript, using Supabase, PostgreSQL, MongoDB, and Redis for the data layer. The platform includes a 7-step onboarding experience, image-based hair analysis, and a rule-based recommendation engine designed for future ML integration.
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