Portfolio

All Projects

A collection of my work in artificial intelligence, medical imaging, mobile development, and quantum computing.

Medical AI / Computer Vision

Automated Melanoma Detection

Low-Cost Deep Learning System

A deep learning system achieving 98.59% recall in melanoma detection using ConvNeXtBase ensemble. Designed to provide accessible, affordable diagnostic aid for early melanoma detection with medical-grade preprocessing and Grad-CAM interpretability.

98.59%

Recall

98.59%

Precision

99.49%

Accuracy

Python PyTorch ConvNeXtBase OpenCV Grad-CAM

View Project GitHub

Mobile App / Health & Fitness

AgovFit

Personal Fitness Companion

A comprehensive mobile application for tracking workouts and monitoring progress in real-time. Features workout tracking, rich analytics, weekly goals with streak tracking, and cloud sync across devices.

100+

Exercises

iOS & Android

Platform

Flutter Dart Firebase RevenueCat

View Project

Quantum Computing / Research

Quantum vs. Classical CNN Research

Quantum Machine Learning Study

A comparative study investigating "Quantum Advantage" in low-data medical imaging scenarios. Tested Hybrid Quantum-Classical networks against standard CNNs under controlled conditions, demonstrating quantum generalization benefits.

+6.4%

Accuracy Gain

+6.7%

Precision Gain

PennyLane PyTorch Quantum Computing Python

View Project GitHub

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