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Achievement: Pull SharkAchievement: YOLOAchievement: Pair Extraordinaire

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ardozcnn/README.md

CODE · BIOSIGNALS · CURIOSITY

Arda Özcan

Small experiments. Real signals. Thoughtful software.

Science high school student exploring biology through code and electronics.
Curious about software design, programming languages, and what sensors can tell us about the human body.

Website   /   LinkedIn   /   Ankara, Türkiye

Python C++ TypeScript ESP32


What keeps me curious

Biology & electronics
Measuring physiological signals and learning how to interpret them.

Software & language
How programs are structured, how languages express ideas, and how to make code clearer.


Selected experiments

GSR Sensor
Exploring galvanic skin response with an ESP32, C++, and LED feedback.
An educational biosensing prototype.

Aero Orbit
Simulating flight trajectories with gravity, mass, and air resistance.
Python · physics · simulation

Aurea
Exploring football player valuation through performance data.
Python · data analysis


LEARNING BY BUILDING, ONE QUESTION AT A TIME.

Pinned Loading

  1. aurea aurea Public

    Aurea, Transfermarkt piyasa etiketinin yanında oyuncunun üretimine dayalı bir adil değer gösterir.

    Python

  2. gsr-yalan-dedektoru gsr-yalan-dedektoru Public

    Bu proje, insanın stres ve heyecan anında cilt direncinde meydana gelen mikroskobik değişimleri analiz ederek çalışan biyometrik bir yalan makinesi prototipidir.

    C++

  3. aero-orbit aero-orbit Public

    Hava sürtünmesi, kütle ve yerçekimini diferansiyel denklemlerle hesaba katarak bir hava aracının veya roketin uçuş yörüngesini hesaplayan simülasyon.

    Python

  4. aero-plan-ai aero-plan-ai Public

    AeroPlan AI is an end-to-end Python-based autonomous flight planning and AI-powered mission analytics engine for Unmanned Aerial Vehicles.

    Python

  5. ace-sat ace-sat Public

    An adaptive SAT learning agent — not a chatbot.

    TypeScript

  6. pitch-value pitch-value Public

    Open-source football market efficiency analytics for AQX Sports Analytics Data Bowl 3.0.

    TypeScript