Pinned Repositories
Advanced-Voice-Translator-with-Multilingual-Support
A sophisticated desktop application that transforms spoken language into text and provides instant translations in multiple languages using neural networks, complete with real-time audio visualization and a searchable translation history. Built with PyQt6 and Hugging Face, it offers a seamless experience from voice input to final translation
Animal-Recognition-App-for-Self-Driving-Cars
This is the fifth project of AI Engineering Master. It aims to develop an automatic image recognition system to distinguish between vehicles and animals. I need to implement convolutional neural network (CNN) for image analysis and classification in a binary problem (vehicle or animal). My extra goal is to build a DL real-time application.
Churn-Prediction-with-SHAP
This projects aims to classify potential churn customers using a Telco Customer Dataset from IBM. The main applications are about the explainability integration with SHAP algorithm and the creation of an interactive dashboard with Exploratory, Classification and Explainability insights.
Contacts-Agenda-Software
This repository is the first project of the master's degree in AI Engineering that I am following. It aims to create an interactive software with Python that can manage phone contacts for its users. The implementation will make use of OOP programming, with the extra implementation of a GUI with Tkinter.
NLP-for-ChatGPT-Reviews
The main idea for this project is explore a Kaggle dataset about ChatGPT reviews using a NLP approach in order to apply ML models for score reviews predictions. I applied LIME algorithm to evaluate explainability to get text and features explanations. I realised a Docker container to set up a Django web application.
Pneumonia_Detection
This project aims to study a public dataset on pneumonia detection based on a binary classification problem. I will perform a preprocessing phase, create a deep learning model from scratch, evaluate it with a transfer learning technique and complete this study with a grad cam integration.
Prediction-model-for-a-real-estate-market
This repository is the third project of the master's degree in AI Engineering that I am following. It aims toto optimize real estate price valuation through the use of advanced regularisation techniques in linear regression models by implementing Lasso, Ridge and Elastic Net in order to obtain accurate and stable price predictions.
PyTorch-CNN-for-food-image-classification-system
This is the sixth project for the AI Engineering Master. It has the purpose to to develop and implement an advanced food image classification system, using cutting-edge deep learning techniques: data augmentation and transfer learning with PyTorch, GRAD-CAM, user-friendly GUI.
Stroke_Prediction
Stroke prediction with machine learning and SHAP algorithm using Kaggle dataset
Wildfire_Prediction_with_Satellite_Images
This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. Explainability with ELI5 and GradCAM could be an interesting integration to be tested.
Silvano315's Repositories
Silvano315/Prediction-model-for-a-real-estate-market
This repository is the third project of the master's degree in AI Engineering that I am following. It aims toto optimize real estate price valuation through the use of advanced regularisation techniques in linear regression models by implementing Lasso, Ridge and Elastic Net in order to obtain accurate and stable price predictions.
Silvano315/Stroke_Prediction
Stroke prediction with machine learning and SHAP algorithm using Kaggle dataset
Silvano315/Wildfire_Prediction_with_Satellite_Images
This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. Explainability with ELI5 and GradCAM could be an interesting integration to be tested.
Silvano315/Animal-Recognition-App-for-Self-Driving-Cars
This is the fifth project of AI Engineering Master. It aims to develop an automatic image recognition system to distinguish between vehicles and animals. I need to implement convolutional neural network (CNN) for image analysis and classification in a binary problem (vehicle or animal). My extra goal is to build a DL real-time application.
Silvano315/Churn-Prediction-with-SHAP
This projects aims to classify potential churn customers using a Telco Customer Dataset from IBM. The main applications are about the explainability integration with SHAP algorithm and the creation of an interactive dashboard with Exploratory, Classification and Explainability insights.
Silvano315/Contacts-Agenda-Software
This repository is the first project of the master's degree in AI Engineering that I am following. It aims to create an interactive software with Python that can manage phone contacts for its users. The implementation will make use of OOP programming, with the extra implementation of a GUI with Tkinter.
Silvano315/Customer-Relationship-Management-with--cpp
This repository is the second project of the master's degree in AI Engineering that I am following. It aims to create an interactive console application developed in C++ and programming OOP that will allow users to manage customer information and their interactions, improving customer service
Silvano315/ETL-project-using-API
This project involves selecting an API from RapidAPI and using Python to extract data in JSON format. The extracted data is then cleaned and transformed by parsing only the necessary information. Finally, the cleaned data is loaded into an SQL database for further analysis.
Silvano315/Exotic-Fruit-Classification
This repository is the fourth project of the master's degree in AI Engineering that I am following. It aims to develop a machine learning model that can predict the type of fruit based on numerical features. I need to implement a feature engineering, EDA and KNN model to achieve this project, but I will try to add an interactive viz with pygwalker
Silvano315/GUI-Voice-Translator-from-Italian
This project has the purpose to create some applications about voice tasks: recognition, translation, emotion detection and something more. I mostly use pre-trained models from transformer library and implement anything I can think of (guy, explainability, apps).
Silvano315/My-Leetcode-Solutions
This repository has the goal to collect all the coding questions I did on Leetcode. It should be an archive for myself and for whom need it. All the rights goes to Leetcode, from where these questions were taken.
Silvano315/NLP-for-ChatGPT-Reviews
The main idea for this project is explore a Kaggle dataset about ChatGPT reviews using a NLP approach in order to apply ML models for score reviews predictions. I applied LIME algorithm to evaluate explainability to get text and features explanations. I realised a Docker container to set up a Django web application.
Silvano315/Pneumonia_Detection
This project aims to study a public dataset on pneumonia detection based on a binary classification problem. I will perform a preprocessing phase, create a deep learning model from scratch, evaluate it with a transfer learning technique and complete this study with a grad cam integration.
Silvano315/PyTorch-CNN-for-food-image-classification-system
This is the sixth project for the AI Engineering Master. It has the purpose to to develop and implement an advanced food image classification system, using cutting-edge deep learning techniques: data augmentation and transfer learning with PyTorch, GRAD-CAM, user-friendly GUI.
Silvano315/Flower-Recognition-and-Detection-with-PyTorch
This is the seventh project for the AI engineering master. The main goal is to develop a highly robust model, capable of automatically classifying flowers with the best possible F1-score (macro) on the test dataset. I need to use techniques such as data augmentations, transfer learning with PyTorch's timm library, YOLO for detections
Silvano315/Health-Insurance-Prediction
This repository aims to test some machine learning and ELI5 explainability technique in order to predict whether the customer would be interested in Vehicle insurance, you have information about demographics, vehicles, policy
Silvano315/Silvano315
Config files for my GitHub profile.
Silvano315/Speech-Emotion-Recognition-model-and-gui
This project has the purpose to build an LSTM-CNN model for speech emotion recognition. Main tasks are: working with audio files, preprocessing techniques, and build a model with a gui for emotion detections. Extra: try XAI algorithm on audio files