Ali Towaiji
Develop
Horizon Private School
University of Toronto
Beaver Sealer
Alfa Prime Concrete supplies
University of Toronto
Uruk General Contracting
Discover, plan, and share amazing experiences near you with Motivez! Built with React Native, Supabase, and Google Maps API, this mobile app helps users find local events, organize activities with friends, and explore new places—all in one seamless platform.
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A mobile reminder app for daily prayers, featuring a never-before-seen mosque locator that helps users find the nearest mosques using location services. AthanApp also supports your spiritual journey with tools for tracking prayer consistency and a unique Zakat assistant, allowing you to allocate your charity into specific categories based on your preferences—making it easier to complete your Five Pillars.
coming soon!
A user-friendly inventory management application that allows individuals or small businesses to monitor, update, and organize their stock efficiently.
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Developed an innovative business analysis map leveraging graph methodology, implemented with Python and its powerful libraries. The project aimed to provide a clear visualization of business processes and metrics, enhancing strategic decision-making
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Explores quantum algorithms for financial portfolio optimization.
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Developed a Volunteer Helper website using HTML, CSS, and JavaScript to connect volunteers with local organizations. The site features a responsive design for accessibility across devices, interactive elements for enhanced user experience, and detailed profiles for volunteers and organizations. Advanced search and filter options streamline finding suitable opportunities, while real-time notifications keep users updated on new matches. Secure user authentication ensures data protection. This project honed my front-end development skills and contributed to community engagement by providing a practical solution for volunteer coordination.
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Developed the backend of a real-time sign language recognition system called SignSpeak for the Gen AI Genesis Hackathon. Implemented using Python, TensorFlow, Flask, and OpenCV, the project features a deep learning pipeline utilizing an LSTM model trained on collected gesture data for accurate real-time gesture prediction. The Flask application processes live video streams through OpenCV, providing seamless interaction and sign language translation. This project significantly enhanced my expertise in machine learning, deep learning, real-time data processing, and Python-based web development.
View on GitHubAn intelligent tool for scanning and cataloging shelves, perfect for retail stores or home kitchens. ShelfScan can identify products, track expiry dates, and even scan receipts to automatically add items to your inventory. Integrated with ChefBot, it can suggest meals based on what you have at home. Built with Python, multiple APIs, simple HTML, and Tailwind CSS for a seamless user experience.
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ChainWatch AI is a modular suite of specialized AI agents developed for the Fetch.ai Hackathon at Techkriti'25, IIT Kanpur. This project demonstrates a network of micro-agents that interact to deliver critical insights and notifications for the crypto domain. Each agent is designed for a specific task and can be easily extended or integrated with live data sources.
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Developed a low-level recreation of the classic Dr. Mario game using the Saturn assembler. This project aimed to replicate fundamental gameplay mechanics where players match colors to eliminate viruses, similar to the original game. The implementation involved writing efficient Assembly code to handle real-time inputs, memory management, and rendering. This project significantly enhanced my understanding of computer architecture, Assembly language programming, and low-level logic design.
View on GitHubHere are some of my favorite shots 📸
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Thoughts, articles, and blogs I've published ✍️
