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officialarijit/README.md

Hi 👋 , I'm Arijit Nandi

  • 🧑‍💼 I work as AI researcher at the Big Data and Data Science Unit of Eurecat - Centro Tecnológico de Cataluña, Barcelona, Spain.
  • 🧑🏻‍🎓 Ph.D. (pursuing) in AI at UPC Universitat Politècnica de Catalunya, Barcelona, Spain.
  • 🌱 I’m currently working on Real-time emotion classification from physiological data (EEG, ECG, GSR, etc.) streams in E-Learning. Also developing a Federated Learning-based application for the same.
  • 📚 I’m currently learning: XAI, MLOps.
  • 💬 Ask me about: Federated Learning | Data Streaming | Affective Computing | Docker.
  • 👯 I’m looking to collaborate on Federated learning and its application in real-time emotion recognition |
  • 📫 How to reach me: Email: [email protected]
  • 😄 Pronouns: Aa-rii-jeet
  • ⚡ Fun fact: 1.0


linkedin logo    twitter logo    google scholar logo    RG logo    dblp logo

Tech stack I work with 👇

Web development stack

JavaScript  PHP  Flask  Bootstrap  HTML  CSS  JSON  MySQL 

Languages

Python  C  MATLAB

ML/DL stack

Keras  NumPy Pandas scikit-learn TensorFlow OpenCV scikit-multiflow

Version Control

Git  GitHub


GitHub Stats! 📊


Github Stats  Language stats 



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  1. MLDL-Dataset MLDL-Dataset Public

    This repo contains different datasets (if size is less) or the active links available

  2. DFL DFL Public

    A Docker-Based Federated Learning Framework Design and Deployment for Multi-modal Data Stream Classification

    Python 9

  3. Fed-ReMECS-mqtt Fed-ReMECS-mqtt Public

    A Federated Learning Method for Real-time Emotion State Classification from Multi-modal Streaming

    Python 10 1

  4. RPWE RPWE Public

    Reward Penalty Weighted Ensemble approach for multimodal data stream classification

    Jupyter Notebook 4

  5. ReMECS ReMECS Public

    Real-Time Multimodal Emotion Classification System in E-Learning Context

    Jupyter Notebook 5 1