Projects & Code.
Deep-dives into computer vision systems, transformer emotion models, neuroimaging classifiers, and Next.js web applications. Click on any project to explore its problem, solution, metrics, and architecture.
TÜBİTAK 2209-A Blind Spot Detection & Warning System
Real-time computer vision and object detection warning system for motorcycle rider safety, funded by TÜBİTAK.
Funding Program
TÜBİTAK 2209-A
Core Technology
Edge Vision AI
Stress & Fatigue Detection via Facial Expression Recognition
Deep learning facial analysis using ViT and BEiT transformers to identify stress metrics. Official implementation of the ICCSA 2025 paper.
Model Architecture
ViT & BEiT
Benchmark Dataset
FERPlus Dataset
Alzheimer's Disease Classification using Deep Learning
Multi-class MRI scan neural classifier utilizing neuroimaging data to identify Cognitive Normal, MCI, and AD categories. Graduation project implementation.
Data Modality
Neuroimaging MRI
Diagnostic Classes
CN vs MCI vs AD
Travel Assistance: Multi-Language Smart Guide Application
A comprehensive travel assistance web application utilizing Next.js 15 and TypeScript, integrating Google Maps API to provide location-based services, travel tools, and safety alerts with multi-language support (English, Turkish, Kurdish).
Framework
Next.js 15 & TypeScript
Architecture
MVVM Pattern
MedAI: AI-Powered Clinical Assistant & Medicine Planner
Intelligent medicine management and clinical assistant application featuring study planners, OCR prescription scanner, and environment-configured persistent AI chat.
Target Platform
iOS & Android
AI Engine
Gemini Model
PharmAI: Intelligent Pharmacology Assistant
A Flutter mobile application designed to serve as a smart assistant in pharmaceutical study and reference environments.
Target Platform
Cross-Platform
Core Framework
Flutter SDK