Python, TensorFlow/Keras, OpenCV, Google Gemini API, Flask, Unity (C#)
• Built a Unity-based mobile app assisting visually impaired users with money recognition, gesture interpretation, scene
description, and distance measurement, using Computer Vision and AI/ML.
• Achieved 90%+ recognition accuracy by training TensorFlow/Keras models, converting to ONNX, and deploying with
Unity Barracuda + OpenCV for on-device inference.
• Architected a client-server system where Unity ran lightweight models while a Python Flask backend handled intensive
tasks, improving responsiveness by 30%.