TypeScript

Compliance service enforcing rules defined in the TrustFramework - Architecture Document/Compliance Document

This repository contains a collection of my professional projects, including a React front-end application, an ASP.NET back-end service, and other personal projects. It serves as a showcase of my skills in web development, software engineering, and project management.

SmartPy

Smart Contracts on Tezos

A comprehensive solution for developing, testing, and deploying smart contracts on the Tezos blockchain. All in familiar Python syntax.

open source portfolio north star project demonstrating design to devops for mobile app store & PWA

Outil d'analyse des avis Google via une IA. Cet outil analyse le sentiment des avis google pour déterminer par exemple si un avis 5 étoiles et vraiment positif ou si il contient des critiques. Il fonctionne avec un script python alimenté par un dataset. Il y'a également un dashboard en typescript pour visualiser les résultats à partir d'un json.

🚀 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. 🌾

Official inference library for Mistral models

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.