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https://github.com/piero24/piero24

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https://github.com/piero24/piero24

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Hi, I'm Pietrobon Andrea



Computer Engineering Master's Degree Student at the

University of Padua (🇮🇹)







piero24 stackoverflow



  • 🦾 I’m currently learning NLP and exploring Transformers



  • 🤖 I'm interested in Machine Learning and Deep Learning



  • 📚 Collaboration is the Key for building great things!



  • 👨🏽‍💻 All of my projects are available at @Piero24



  • 💬 Let's talk about Data Structures and Algorithms 😆




























🛠️ Other Project I have worked on 🛠️


🧠 **VanillaNet Cpp**: ([🔗Code](https://github.com/Piero24/VanillaNet-cpp) | [🕹️Demo](https://colab.research.google.com/drive/1PKhdX0fzxX75JgCNBCbbtW9H_NRVtl_i?usp=sharing))
- A fully connected Neural Network in C++ with SGD from scratch, achieving **98% accuracy** on the MNIST dataset.
- Developed with: C++, Cmake, Deep Learning


🏠 **Airbnb Clone Website**: ([🔗Code](https://github.com/Piero24/airbnb-clone) | [🕹️Demo](https://beautiful-sable-2905de.netlify.app))
- Fully responsive Airbnb clone website featuring user authentication, property listings, and booking functionality
- Developed with: React, TypeScript, Tailwind CSS, MongoDB, Prisma, Next.js, Auth.js


🚚 **Mathematical Optimization of the Traveling Salesman Problem**: ([🔗Code](https://github.com/Piero24/TSP_Optimization) | [🕹️Results](https://github.com/Piero24/TSP_Optimization/tree/main/Results) | [📄Paper](https://github.com/Piero24/TSP_Optimization/blob/main/Thesis.pdf))
- Application of different Algorithm to optimize a TSP problem achieving solutions **within 3% of the optimum**
- Developed with: CPLEX, C, Cmake


💬 **Telegram Bot Amazon Offers**: ([🔗Code](https://github.com/Piero24/TelegramBot-AmazonOffers) | [🕹️Demo](https://linktr.ee/webofferte))
- Find and select the best offers on Amazon and forward them to the Telegram channel
- Developed with: Python, SQLite3, [pyTelegramBotAPI](https://github.com/eternnoir/pyTelegramBotAPI), [Amazon Product Advertising API](https://programma-affiliazione.amazon.it/assoc_credentials/home)


🤖 **Tiago Movement and Object Manipulation With ROS**: ([🔗Code](https://github.com/Piero24/Intelligent-Robotics_project_23-24) | [🕹️Demo](https://github.com/Piero24/Intelligent-Robotics_project_23-24/tree/main/Videos) | [📄Paper](https://github.com/Piero24/Intelligent-Robotics_project_23-24/tree/main/report_presentation))
- Operating tasks within a simulated space to recognize and maneuver around obstacles while capturing objects
- Developed with: C++, ROS, Moveit


🐙 **HSNet+: Enhancing Polyp Segmentation with Region-wise Loss**: ([🔗Code](https://github.com/Piero24/lossFuncition-4SN) | [🕹️Demo](https://colab.research.google.com/drive/1TEcddIvATuULZxx9QQD3hXsm5ahs0iQv?usp=sharing) | [📄Paper](https://github.com/Piero24/lossFuncition-4SN/blob/master/Pietrobon_Biffis.pdf))
- Combines the advantages of Transformer networks and CNN, along with regional loss for polyp segmentation
- Developed with: Python, PyTorch, OpenCV, Numpy


🍓 **Food Recognition and Leftover Estimation**: ([🔗Code](https://github.com/Piero24/Food-recognition-and-leftover-estimation) | [🕹️Demo](https://github.com/Piero24/Food-recognition-and-leftover-estimation/tree/main/Results) | [📄Paper](https://github.com/Piero24/Food-recognition-and-leftover-estimation/blob/main/Paper.pdf))
- Food recognition and leftover estimation with **95% more accurate** performance than the previous version
- Developed with: C++, Cmake, OpenCV


✈️ **BookFlights - Telegram bot for flight offers**: ([🔗Code](https://github.com/piero24/BookFlights) | [🕹️Demo](https://linktr.ee/bookflights))
- A telegram bot for each Italian region to see flight offers departing from airports in that region
- Developed with: Python, SQLite3, [pyTelegramBotAPI](https://github.com/eternnoir/pyTelegramBotAPI), Airline companies API


📐 **AutoLoss-Zero: Objective functions in training neural networks**: ([📄Paper](https://thesis.unipd.it/handle/20.500.12608/34548))
- AutoML method, for the detection of colon polyps
- Developed with: Matlab, Deep Learning











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