Smart Fire Warning System for Forests, Parks and Natural Reserves

The Fire Warning System in a Forest is a mini-project that simulates a server on a PC and Raspberry Pi devices acting as fire lookout towers. It establishes a communication channel to collect, analyse and present real-time temperature data from the lookout towers. Photo by Ali Kazal on Unsplash.

A Color Palette Generator deployed on Streamlit

This project implements a simple color palette generator using machine learning techniques and serves as a perfect opportunity to explore and test the capabilities of Streamlit, an interactive web application framework for Python.

R&D : Classification of Nonstationary Time Series Using Stochastic Wavelet Representations

A state-of-the-art evaluation of the clustering approaches for time series, particularly exploring the effectiveness of Fryzlewicz and Ombao's method using stochastic wavelet representations. The goal was to compare its performance with alternative techniques and gain insights into its efficacy.

R&D : Federated Learning for Cooperative Intelligent Transport Systems

An evaluation of federated learning for Cooperative Intelligent Transport Systems, enabling model training in smart cars without accessing drivers' data. By leveraging state-of-the-art techniques, it ensures privacy preservation and cooperative learning in the context of intelligent transportation.

Medical Image Segmentation Using Anisotropic Diffusion

The aim of this project is to apply a segmentation algorithm to medical images such as brain MRI, in order to test the relevance of a preliminary approach using smoothing and denoising methods, in particular anisotropic diffusion based on the Perona & Malik algorithm.

Analyzing Bob Dylan's Songs: Unraveling the Genius of a Musical Legend

This data science project delves into the extensive catalogue of Bob Dylan's songs to extract insights, patterns, and narratives. The project aims to uncover the artistic brilliance and thematic evolution that characterizes Dylan's work by employing advanced data analysis techniques.