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MonishaBasak/README.md

Hi 👋, I'm Monisha Basak

A passionate Biomedical Engineer from Bangladesh

⚡ Recent Achievements ⚡

  • 🏆 Champion of Bicchuron 2.0: Smart Power and Energy Challenge 2023

  • 🏆 Champion of National Digital Innovation Challenge 2023

  • 🏆 Champion of National Energy Innovation Challenge

  • 🏆 1st Runner-Up in BdOSN Dev Mania Project Competition

  • 🏆 Champion in SOfE Institutional Heat

  • 🏆 1st Runner-Up in Inter-University Poster Presentation

  • 🏆 Gold Award in International Poster Competition

  • 🏆 Uttam Award by Honorable Prime Minister

  • 🏆 Top 20 in IEEE WIE International Leadership Summit

📃 Publications

  • Investigating Population-Specific Epilepsy Detection from Noisy EEG Signals Using Deep-learning Models

    Doi: https://doi.org/10.1016/j.heliyon.2023.e22208

  • Automatic Classification of COVID-19 from Chest X-Ray Images using Convolutional Neural Network

    Doi: 10.1109/EICT54103.2021.9733477

  • Performance Investigation of Epilepsy Detection from Noisy EEG Signals Using Base-2-Meta Stacking Classifier

🔬 Research Interest

🔍 Medical Image Processing

🔍 Bio-Signal Processing

🔍 Artificial Intelligence

🔍 Neuroscience and Brain Mapping

🔍 Machine Learning and Data Science

🔍 Neuro Technology

Connect with me:

monisha-basak https://www.youtube.com/@monishabasak https://www.facebook.com/monisha.rani.basak/

Languages and Tools:

android arduino blender c cplusplus figma firebase gcp illustrator java linux matlab mysql opencv pandas photoshop python pytorch scikit_learn seaborn tensorflow

Pinned Loading

  1. Object-Localization-with-TensorFlow Object-Localization-with-TensorFlow Public

    We are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images

    Jupyter Notebook

  2. Tweet_Emotion_Recognition_Using_LSTM Tweet_Emotion_Recognition_Using_LSTM Public

    We are going to create a recurrent neural network and train it on a tweet emotion dataset to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 e…

    Jupyter Notebook

  3. Composing-Music-Using-Python-in-Earsketch Composing-Music-Using-Python-in-Earsketch Public

    I created a basic composition using the Python programming language in Earsketch

    Python

  4. Object-Detection-Using-Facebook-s-Detectron2 Object-Detection-Using-Facebook-s-Detectron2 Public

    Detectron2 is a research platform and a production library for deep learning, built by Facebook AI Research (FAIR). We will be building an Object Detection Language Identification Model to identify…

    Jupyter Notebook