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Achievement: Pull SharkAchievement: YOLO

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francesco-fortunato/README.md

About Me 👋

🎓 I'm a Master's student pursuing my degree in Engineering in Computer Science @ Sapienza Università di Roma.

👨‍💻 My journey in computer science began with a Bachelor's degree in Computer and Automation Engineering from Sapienza.

🚀 I'm passionate about Internet of Things (IoT), telecommunications, software development, machine learning, and artificial intelligence. I love building things and solving problems with code.

💼 Currently, I'm focused on honing my skills, working on my projects, and learning new technologies.

My Projects 🚀

Here are some of my last projects:

  • GEVIS - Gene Expression Vis: A web-application based dashboard for conducting differential gene expression analysis and visualize results, facilitating interactive visualization and in-depth exploration of gene expression data.
  • PaaT - Pet as a Thing: An IoT-based pet tracking system that utilizes an ESP32 Heltec LoRa v2 and GPS module to track pets' movements. The system allows pet owners to monitor their pets' location, view their pets' movement history, and receive alerts when their pets leave a designated area.
  • Laser-Based Collision Avoidance System: My bachelor thesis work on developing a sophisticated collision avoidance system for robotic applications. The system is designed to enhance robot safety and prevent collisions using laser-based technology.
  • DQN for Breakout Game: This project implements a Deep Q-Network (DQN) to play the classic Breakout Atari game using a reinforcement learning.

Get in Touch 📬

🌐 You can find me on LinkedIn.

📧 Feel free to reach out to me via email at francesco.fortunato1999@gmail.com.

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  1. GEVIS GEVIS Public

    GEVIS (Gene Expression VIS) is a web-based visual analytics platform that facilitates interactive exploration of gene expression data, aiding researchers in identifying significant gene expression …

    HTML 1

  2. PaaT PaaT Public

    PaaT: Pet as a Thing - A low-power, customizable, and reliable pet tracking system

    C 1

  3. DQN-breakout DQN-breakout Public

    This repo contains the code for implementing a Deep Q-Network (DQN) to play the classic Breakout game using reinforcement learning. The DQN learns to navigate the game environment, maximizing its c…

    PureBasic

  4. Laser-Based-Collision-Avoidance-System Laser-Based-Collision-Avoidance-System Public

    Questa repository rappresenta il risultato del mio lavoro di tesi, focalizzato sullo sviluppo di un Laser-Based Collision Avoidance System per applicazioni robotiche. Il sistema è stato progettato …

    C++