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elhidarinouhayla/README.md

Hi 👋, I'm Nouhayla EL HIDARI

AI Developer passionate about Machine Learning, Data Engineering and intelligent systems.

  • Currently building AI-powered applications and machine learning APIs

  • Learning more about MLOps, Kubernetes, Terraform and cloud-based ML systems

  • Open to collaborating on AI, machine learning and data engineering projects

  • Interested in improving scalable ML pipelines and production-ready AI systems

Connect with me:

Languages and Tools:

Programming & Web

 AI & Data Science



 Cloud, DevOps & Tools

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  1. IT-Support-RAG-Assistant IT-Support-RAG-Assistant Public

    Un assistant intelligent basé sur RAG (Retrieval-Augmented Generation) pour le support IT, déployé en production avec MLOps

    Jupyter Notebook 2 1

  2. Hybrid-Analyzer-AI-Orchestration-Platform-Backend Hybrid-Analyzer-AI-Orchestration-Platform-Backend Public

    AI-powered article analysis engine orchestrating Zero-Shot Classification (Hugging Face) and Contextual Synthesis (Gemini). Features a secure JWT-authenticated API and structured data management.

    Python 1

  3. ml-health-api ml-health-api Public

    Forked from codehass/ml-health-api

    Les maladies cardiovasculaires sont la première cause de mortalité dans le monde, responsables de 17,9 millions de décès par an. L’objectif de ce projet est de fournir une API capable d’estimer le …

  4. NLP-Support-Ticket NLP-Support-Ticket Public

    Système automatisé de classification de tickets support IT utilisant le traitement du langage naturel (NLP) et des pratiques MLOps pour industrialiser le processus de catégorisation des emails clients

    Jupyter Notebook

  5. RetentionAI_Backend RetentionAI_Backend Public

    Une application d’aide à la décision RH combinant machine learning supervisé et intelligence artificielle générative. Ce backend expose une API sécurisée permettant de prédire le risque de départ …

    Jupyter Notebook

  6. Urban-ETA-ML-Platform Urban-ETA-ML-Platform Public

    une solution complète de type "Control Tower" logistique a l'objectif de prédire le temps d'arrivée (Estimated Time of Arrival - ETA) des taxis urbains en utilisant un pipeline de données distribué…

    Jupyter Notebook