Borna B. Afraz

q neo is an AI platform designed to unlock the hidden value of everyday physical items and support the circular economy. A user scans an object using their phone camera. A computer vision AI identifies the object, detects possible damage, and analyzes important visual details. The user can also add background information such as the age of the item or known issues. All of this information is analyzed by a valuation engine called the Quantum AI Key. The system studies resale prices, depreciation patterns, market demand, and repair costs. Using these data points, the system calculates a Pivot Score that determines the best course of action for the item. Possible recommendations include selling, repairing, keeping, or recycling the item. The goal is to help people and businesses make smarter decisions about the products they own while reducing waste and supporting a circular economy. During the hackathon our team: • designed the concept • built a website frontend prototype • created the product logic • demonstrated how the AI decision system works Our project placed in the Top 10 at the hackathon.

A growth strategy focused on increasing Loveable.dev users. This work explores user acquisition, product positioning, and scalable growth channels. The strategy was developed while collaborating professionally with a large technology company.

A detailed analysis of how Machine Learning and Deep Reinforcement Learning can be combined to shift from traditional market forecasting toward autonomous, sequential decision systems. The article explores state representation, model-based and model-free reinforcement learning approaches, risk-aware policy design, and adaptation in evolving market conditions.

AI Search Agent is a desktop chat application that launches from main.py and lets users ask web research questions in a simple GUI, processes them through its existing search-and-summarize pipeline with a background “Thinking…” state, and displays results directly in the chat window without saving any session data.

Calorie Tracker is a modern Python-based desktop app for tracking daily calorie intake, monitoring nutrition goals, and analyzing eating habits through an intuitive, app-like interface. It features structured data storage, daily summaries, and a clean dashboard experience designed for simplicity and performance.

GTA-style open world game built in Unreal Engine 5.5.4. Explore, live, and experience freedom — nearly complete, just bug fixes left.

My addition of Subway Surfers is a PC endless runner built in Unreal Engine 5.5.4. Players run, jump, and collect coins while avoiding enemy AI. Developed solo with help from tutorials, the project highlights challenges in movement and AI, with future updates focused on bug fixes

A polished Packman game built with Python & Pygame, featuring modern UI, menus, and modular design.

My Strategic 2D Defence game

A modern memory matching game built with Python and Pygame. Flip tiles on a 6×8 grid to find matching pairs in the fewest turns. Features smooth flip animations, hover effects, sound feedback, and best-score tracking.

Flappy Bird is a space-themed Flappy Bird clone built with Python and Pygame. It features gravity-based movement, procedurally generated obstacles, collision detection, animated star background, sound effects, and a live score + high score system running at 60 FPS.

Pygame lane-dodging car game with a modern HUD, scoring/high score, increasing difficulty, pause, and sound effects.