Featured Projects
RL AI PRICING AGENT
A dynamic pricing simulator built with Python and Reinforcement Learning, developed as a submission for an international research confluence competition.
This project demonstrates how AI can make smarter pricing decisions in e-commerce by learning from key factors like competitor pricing, inventory levels, day types, and customer clicks. Using Q-learning and a regression-based demand model, the AI agent optimizes pricing strategies over hundreds of simulated sales episodes to maximize revenue.
An interactive dashboard (powered by Flask) visualizes revenue trends, Q-value convergence, and compares AI-driven pricing against traditional static methods — highlighting the real impact of intelligent automation in real-time pricing.
Motorbidz - Car Auction Platform
MotorBidz is a live car auction web application developed as a university project to create a dynamic and secure marketplace for buying and selling vehicles. It offers real-time bidding with live countdown timers that bring excitement and urgency to every auction.
The platform features robust user authentication and an admin dashboard, along with a manual seller verification process to ensure trust and prevent fraud. Users can easily browse filterable car categories, add favorites to their wishlist, and receive email notifications when they win a bid.
Designed with a fully responsive layout, MotorBidz delivers a smooth experience across all devices. Additionally, an AI-powered chatbot provides instant user support, enhancing overall engagement and usability.
Smart Urban Energy Pod
The Smart Urban Energy Pod (SUEP) is an innovative all-in-one smart city infrastructure concept developed for the RISC 2025 competition. This modular and scalable unit integrates renewable energy sources—including solar panels and vertical wind turbines—with fast EV charging stations and e-scooter rental docks.
Powered by AI-driven traffic management, SUEP aims to optimize urban mobility and energy use. Designed to reduce emissions and support last-mile transportation, it also enhances urban resilience by providing emergency power backup and real-time environmental monitoring.
Through a dedicated mobile app, users can conveniently reserve EV charging slots, rent e-scooters, receive live traffic updates, and track air quality. This forward-thinking solution aligns with the UAE’s Smart City initiatives and Net Zero 2050 goals, paving the way for sustainable, connected urban living.
Home Automation UX Prototype
HomiX is an inclusive smart home automation prototype developed as part of a Human-Centered Computing (HCC) project. Designed with a strong focus on usability, accessibility, and interaction design principles, HomiX caters to a wide range of users—including tech-savvy individuals, the elderly, and those with limited digital literacy.
The system includes key features such as voice assistant integration, SMS-based control for offline access, customizable automation modes, and a secure OTP-based audit verification interface. Built using Figma and developed through an Agile process, the project emphasized iterative design, user personas, and scenario-driven workflows to ensure a seamless and user-friendly experience.
Frost and Flare (Clothing Website)
A fully custom-built e-commerce site for my streetwear brand, developed using HTML, CSS, JavaScript, PHP, and JSON. It features responsive design, dynamic product displays, a custom T-shirt design tool, and a Flare Bucks loyalty program.
The site handles orders via a PHP/JSON backend and is hosted on x10Hosting. A new version is in development with payment integration, enhanced UX/UI, and better performance—showcasing my full-stack web development skills.
Facial Recognition Robot
Developed an AI-powered facial recognition robot using Python and Raspberry Pi to boost security through continuous real-time monitoring. The system employs advanced computer vision algorithms to accurately detect and identify unauthorized personnel in various environments. Upon detecting an intruder, the robot instantly sends alerts to administrators, enabling rapid security interventions. Created for the DEWA Innovation Competition, this project demonstrates practical applications of AI and embedded systems in enhancing safety, surveillance, and automated threat response.