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alexsteinerr/README.md

Alex Steiner 👋

IB Diploma Candidate • ML Researcher • AI & BCI Enthusiast • 📍 San Marino • 🌐 alexsteiner.dev • 🔗 LinkedIn

🎓 About Me

I’m completing the IB Diploma, with a personal study focus on brain-computer interfaces (BCIs). I love turning theory into real-world applications while helping others.

🛠️ Skills

  • Languages: Python · C/C++ · C# · Java · JavaScript · Swift
  • AI/ML: PyTorch · TensorFlow · NLP · Computer Vision
  • Embedded: Arduino · ESP32 · Raspberry Pi
  • Web: Node.js · Express · React · MongoDB
  • Tools: Git · Docker · Jupyter · VS Code · Linux

🤝 Leadership

  • IEEE Author
  • Mentor, STEM & Robotics Club
  • Volunteer Dev, Sustainability NGOs

🎯 Goals

Pursue computation and cognition at university, continuing and refining my research on inner speech decoding.

Pinned Loading

  1. inner-speech-translation inner-speech-translation Public

    ALSEE is an experimental inner speech decoding device that restores communication for people with motor impairments. Uses EEG/sEMG signals, DeepSeek LLM, ESP32 hardware, and AES-GCM encryption for …

    C++ 7

  2. gemini-sight gemini-sight Public

    AI-powered smart glasses connected to your Google interface, entry for the Gemini API Competition.

    C++ 6 1

  3. vertical-farm vertical-farm Public

    Welcome to the Vertical Farm System project! This system integrates Express.js, EJS, Mongoose, Arduino, and ESP32 Camera to create an efficient and user-friendly vertical farming solution. The syst…

    C 3 2

  4. nervision nervision Public

    Nervision is a PyTorch-based AI system that converts natural-language prompts into fully textured 3D models, combining a GAN-autoencoder architecture with PolyHive’s auto-texturing tool. Streamline…

    Python 11

  5. gpt-zero gpt-zero Public

    A recreation of the website gptzero.me which utilizes the OpenAI GPT-4 model to determine whether a piece of text was written by a human or a machine.

    Python 21 10

  6. dnai dnai Public

    DNAI is a Python toolkit using deep learning to detect genetic diseases from DNA. It preprocesses sequences, trains neural networks, generates PDF reports, and provides a Flask web interface.

    Python