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FrancescoCaserta/README.md

👋 Hi there, I'm Francesco Caserta!

🎓 Fresh Graduate | 🤖 Aspiring Roboticist

I'm Francesco Caserta, 26 years old, born and raised in the beautiful town of Sacile, Italy 🇮🇹.
I recently graduated in Computer Science and Engineering from Politecnico di Milano.

🧠 Thesis & Research [DEMO]

In my final year, I joined the NESLab at Politecnico di Milano under the supervision of Prof. Luca Mottola.

There, I worked with Crazyflie 2.1 nanodrones 🛩️, designing a novel Human-Drone Interaction paradigm
that allows end-users to customize drone behavior at runtime — fully prototyped and tested on 10 volunteer users.

🔧 Past Projects & Skills

I've worked on diverse tech challenges, especially in:

  • 🧿 Computer Vision
  • ⚙️ Embedded Systems
  • 🧠 AI at the Edge

GitHub Repositories

🚀 What's Next?

I'm currently working towards building a career in robotics 🦾 — blending my passion for intelligent systems, autonomous devices, and real-world impact.

🌍 Extra-Curricular Activities

  • 👥 Buddy Program — welcoming and mentoring Erasmus students at Politecnico di Milano.
  • 🧠 Hackathon — Participant at StartHack, held in St. Gallen, Switzerland 🇨🇭.
  • 🏭 Siemens Academy — Training and workshops in Milan on industry technologies.
  • 🌱 Huawei Seeds for the Future — Selected participant in the innovation and ICT program in Rome 🇮🇹.

📫 Let's Connect

Feel free to reach out if you want to collaborate or just chat about drones, robotics, or embedded AI!
You can find me on LinkedIn.

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  1. DronWO DronWO Public

    A Human-Drone Interaction system for drones that lets end-users customize drone behavior at runtime — prototyped on Crazyflie 2.1 and tested with 10 non-expert users.

    Python

  2. Stride_Tracked Stride_Tracked Public

    Utilize accelerometers and gyroscopes to capture ground vibrations during walking. Our software learns and identifies unique walking styles based on these data, enabling precise person detection.

    C++

  3. Healthy-Abdominal-Organ-Segmentation Healthy-Abdominal-Organ-Segmentation Public

    This notebook aims the segmentation of abdominal organs (liver, kidneys and spleen) from CT and MRI data using a U-Net

    Jupyter Notebook 3

  4. Distributed_Snapshot Distributed_Snapshot Public

    Implementation of a Distributed Snapshot Algorithm (Chandy–Lamport) for capturing consistent states in a distributed system. This solution has been tested within a real-world distributed environmen…

    Java

  5. Plant_Health_Classification Plant_Health_Classification Public

    This project aimed to classify plant health using low-resolution images (96x96x3). We explored image preprocessing, outlier detection, and class balancing. Utilizing custom and well-known CNNs with…

    Jupyter Notebook