HTML

Data visualization project of a fantasy league competition between Melanie Brière and Crucifix Arnaud.

An open source game about breaking bricks, catching coins and picking upgrades.

Frontend Sistema de Gestão de Crises

truongluyen

Portfolio 🔗 Lien direct : thomastp.me

eLxr Compatibility & Certification Portal

To provide a centralized, searchable, and filterable web interface, API, and database that tracks the state of software and hardware validation, compatibility, support, and “partner” certification for eLxr.

IDE focused on usability and AI

Audo visualizer for general purpose audio integration.

Rollminder front-end made with Typescript and NextJS Makes the calls to the API in the back-end, and it's responsible for showing the data to the users

Technologies: Typescript / NextJS / ReactJS / Tailwind CSS

Application Next permettant de récupérer les informations d'un véhicule à partir de sa plaque d'immatriculation. Affiche marque, modèle, moteur, puissance, poids, etc...

A pokéequip manager!

Minimal, fast, and flexible boilerplate for building modern React applications using Vite. It includes a clean project structure, optimized development tooling, and essential configurations—making it easy to start new projects quickly without unnecessary clutter.

Typescript based game engine.

App de gestão de um estabelecimento de manutenção física - PWA 2025 - Group A

🚀 Project Description

This project aims to empower farmers through AI, IoT, and data-driven automation, transforming traditional farming into a smart, sustainable process. It provides end-to-end guidance — from crop selection to profit generation — using intelligent technologies.

Our system integrates AI-based crop recommendation models that analyze soil, weather, and market trends to suggest the most profitable crops. IoT sensors monitor soil moisture, humidity, and temperature in real time, while CNN-based image processing detects plant diseases and tracks growth stages.

An intelligent Gemini AI assistant generates automated farming schedules for irrigation, fertilization, and maintenance, ensuring optimal yield with minimal manual intervention. The backend, built with Node.js and Express, manages sensor data and communicates with a cloud server for advanced analytics.

The system also includes AI-based hardware sensors that perform on-field edge analysis and sync with the central server for instant decision-making. The React + Vite frontend offers an intuitive dashboard for real-time visualization, alerts, and AI insights.

With features like predictive yield analytics, pest control recommendations, and market trend forecasting, this platform provides farmers a complete technological ecosystem for smart, profitable, and data-driven agriculture. 🌾

Windsor.ai: Blegistrasse 15, 6340 Baar, Switzerland hello@windsor.ai VAT No. GB 208 3065 32 Geraldo Pereira Junior Affiliate Manager geraldo@windsor.ai Windsor Group AG Blegistrasse 15, 6340 Baar, Switzerland support@windsor.ai