Subnet Radar
internship project · in final documentation stage
A Flask-based network analysis platform built during the TÜBİTAK BİLGEM internship, grown into
eight modules: IP Radar, Wi-Fi Radar, Bluetooth Radar, Internet Tools, Speed Test, Network Topology,
Hotspot Radar, and a landing page. Refactored from a single monolithic file into a modular Flask
app with per-module templates, CSS, and JS. Includes real-time SSE-streamed speed testing, BLE and
Wi-Fi scanning worked around corporate-device restrictions, and a light/dark theme system.
FlaskPythonSSEpywifibleakJavaScript
Phone Number Validation Microservice
A microservice-based phone validation system with a RESTful API, validation logic, and
service separation, running as containerized services with a MySQL store.
Node.jsExpressDockerMySQL
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IMDB Top 1000 — EDA
Exploratory data analysis on the IMDB Top 1000 dataset: missing-data profiling, distribution
histograms, boxplots by certificate type, a rating-vs-metascore regression, and a full
correlation heatmap.
PythonPandasSeabornMatplotlib
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Qt GUI Application
A desktop application built with the Qt Framework, covering GUI design, event handling, and
core application logic.
C++Qt
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IMDb Rating Prediction
A machine learning project predicting IMDB scores with Ridge Regression, SVR, Random Forest,
and Gradient Boosting, with model comparison and performance visualizations.
PythonScikit-LearnMatplotlib
View on GitHub →