Project Name: QR Code Attendance System
Live Demo: https://yoklamakou.vercel.app/

The QR Code Attendance System is a modern web application developed to quickly, reliably, and completely digitally take student or participant attendance. This system offers teachers or event managers an easy-to-use solution that eliminates the time loss and errors caused by manual attendance taking.

Technologies Used
- Next.js
- TypeScript
- Firebase

Key Features
- Easy login as a student, teacher, or event manager
- Secure authentication with Firebase Authentication
- Students/participants can take attendance by scanning the provided QR code with their mobile devices
- Each scan is instantly and securely saved to Firebase
- Attendance status is updated instantly
- Fast and dynamic data flow thanks to Firebase Firestore
- Listing attendances and generating reports
- User and event management

Project Name: City Disaster Crisis Request Management System
Live Demo: https://kocaeli-kriz-organize.vercel.app/

The City Disaster Crisis Request Management System is a modern web application developed to manage emergency and disaster-related aid requests from citizens in a centralized, fast, and efficient manner. The system aims to reduce information chaos during crisis situations, route requests to the appropriate authorities, and digitally track intervention processes in real time.

Technologies Used
- Next.js
- TypeScript
- Firebase

Key Features
- Secure login with citizen, authorized staff, and administrator roles
- Role-based authentication using Firebase Authentication
- Quick creation of emergency aid requests (food, shelter, medical, etc.) during disasters
- Real-time storage of requests in Firebase with location and timestamp data
- Live request status tracking (pending, assigned, completed)
- Fast and scalable real-time data flow powered by Firebase Firestore
- Request listing, filtering, and reporting for authorities
- Centralized dashboard for crisis management and coordination

Project Name: BookRitt – Speed Reading Application
Published: https://bookritt.erkutyildirim.com

BookRitt is a modern speed-reading web application designed to help users improve their reading speed and focus. By presenting text in a controlled and fluent manner, the application minimizes eye movement and transforms the reading process into a more efficient and sustainable experience.

Technologies Used - Next.js
- TypeScript
- Firebase

Key Features - Personalized reading experience with user accounts
- Secure authentication using Firebase Authentication
- Word-based or sentence-based speed reading mode
- Customizable reading speed (words per minute)
- Reading progress and time tracking
- Real-time user data storage with Firebase Firestore
- Minimal and distraction-free user interface
- Web-based architecture accessible from all devices

Project Name: LinkZae – Smart Link Management Platform
Published: https://linkzae.com

LinkZae is a modern link management platform that allows users to collect all their important links on a single, clean, and professional page. It is specifically optimized for use in social media bios by content creators, entrepreneurs, and brands looking to manage their digital presence efficiently.

Technologies Used
- Next.js
- TypeScript
- Firebase

Key Features
- Personal link page creation with user accounts
- Secure authentication using Firebase Authentication
- Unlimited link creation, editing, and removal
- Link ordering and visibility control
- Mobile-friendly, fast, and minimal user interface
- Real-time data management with Firebase Firestore
- Single-link access to all social media profiles and content
- Device-independent usage with a fully web-based architecture

Project Name: Personal Blog and Portfolio
Example: https://www.umutm.com/
Example: https://zeynepaslierhan.com/
Example: Benim Sitem https://www.erkutyildirim.com/

The Personal Blog and Portfolio is a web-based platform developed to help individuals showcase their technical skills, projects, and thoughts in a modern and professional structure. The system aims to make content creation and personal branding simple, fast, and sustainable.

Technologies Used
- Next.js
- Python
- Flask
- JavaScript - TypeScript
- Web Development
- Supabase

Key Features
- Publishing personal blog posts and portfolio projects
- Secure admin authentication with Supabase Authentication
- Markdown-supported content management
- Dynamic project and blog pages
- Secure content storage using Supabase database
- SEO-friendly, fast, and modern user interface
- Mobile-friendly and responsive design
- Easy maintenance and updates with a web-based architecture

Project Name: AI Powered Career Recommendation System

The AI Powered Career Recommendation System is an innovative decision-support platform that provides personalized career suggestions by analyzing individuals’ cognitive responses and interest levels using EEG (electroencephalography) data. The system goes beyond traditional survey-based guidance by leveraging neuro-data and generative AI techniques.

Technologies Used
- Python
- EEG Data Analysis
- Generative AI
- Web Development

Key Features
- Collection and preprocessing of EEG signals
- Analysis of cognitive states and attention levels
- Pattern extraction using machine learning and deep learning
- Personalized career recommendations powered by generative AI
- Matching skills, interests, and cognitive profiles
- Creation of multidimensional user profiles through data analysis
- User-friendly experience via a web-based interface
- Decision-support infrastructure for academic and professional career planning

Project Name: Soccer Player Statistics Analysis

Soccer Player Statistics Analysis is an AI-powered data analysis and computer vision application that evaluates football players’ performance using match footage and statistical data. The system aims to provide objective, data-driven insights by analyzing player movements, contributions, and performance metrics.

Technologies Used
- Python
- Deep Learning
- Computer Vision
- Data Analysis

Key Features
- Player detection and tracking from match videos
- Player movement analysis using deep learning models
- Extraction of passes, running distance, and positional data
- On-field position tracking through computer vision techniques
- Performance comparison using statistical analysis
- Generation of player-based analytical reports
- Team-level and match-level performance evaluation
- Decision support infrastructure for coaching and technical staff

Project Name: American Sign Language Detection System

The American Sign Language Detection System is an AI-powered web application capable of recognizing American Sign Language (ASL) letters and gestures in real time by analyzing hand movements captured through a camera. The system aims to facilitate communication with hearing-impaired individuals and bring sign language into digital environments.

Technologies Used
- Python
- Deep Learning
- Computer Vision
- Web Development

Key Features
- Real-time hand gesture detection via camera input
- ASL letter and gesture recognition using deep learning models
- Extraction of hand and finger positions through computer vision techniques
- High-accuracy classification using trained models
- Real-time text output generation
- Easy and accessible usage through a web-based interface
- User-friendly design supporting inclusive communication
- Suitable structure for educational and awareness purposes

Project Name: Resume Evaluation Tool

The Resume Evaluation Tool is an AI-powered web application that analyzes resumes using natural language processing to automatically evaluate candidates’ skills, experience, and job-role compatibility. The system aims to accelerate recruitment processes and reduce subjective bias by providing objective, data-driven insights.

Technologies Used
- Python
- Artificial Intelligence
- Text Recognition (NLP)
- Data Analysis
- Web Development

Key Features
- Automatic analysis of resume files (PDF / text formats)
- Skill and experience extraction using natural language processing (NLP)
- Comparison of resume content with job requirements
- Candidate scoring and compatibility assessment
- Keyword, technical skill, and experience duration analysis
- Comparative candidate evaluation through data analysis
- Fast and user-friendly web-based interface
- Automated pre-screening process for HR teams