Portfolio

All Projects

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

Automated Melanoma Detection
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
AgovFit
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
Platform
Flutter Dart Firebase RevenueCat
CineManiac
Mobile App / Entertainment

CineManiac

Social Movie Companion

A movie tracking app that blends personal film tracking with social event planning. Rate movies, build watchlists, plan cinema dates with friends, and discover taste-matched films.

0-100
Rating Range
Coming Soon
Status
Flutter Dart Firebase TMDB API
Quantum vs. Classical CNN Research
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