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fatemafaria142/README.md

Hi there 🙋‍♀️
I am Fatema Tuj Johora Faria, currently working as an Application Developer (AI/ML) at Dexian Bangladesh Ltd. I completed my Bachelor's degree in Computer Science and Engineering from Ahsanullah University of Science and Technology.

Research Interests

  • Large Language Models
  • Large Vision Models
  • Computer Vision
  • Medical Image Analysis
  • Natural Language Processing
  • Generative Adversarial Networks
  • Explainable Artificial Intelligence
  • Machine Learning
  • Deep Learning and its applications
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Languages and Tools

pytorch TensorFlow Keras OpenCV Python MongoDB Django
C# C C++ .NET Java PHP HTML5 MySQL

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  1. MultiBanFakeDetect-An-Extensive-Benchmark-Dataset-for-Multimodal-Bangla-Fake-News-Detection MultiBanFakeDetect-An-Extensive-Benchmark-Dataset-for-Multimodal-Bangla-Fake-News-Detection Public

    This study introduces MultiBanFakeDetect, a novel multimodal dataset for Bangla fake news detection, combining textual and visual information. It features TextFakeNet for text analysis and MultiFus…

    Jupyter Notebook 4 2

  2. Large-Language-Models-Over-Transformer-Models-for-Bangla-NLI Large-Language-Models-Over-Transformer-Models-for-Bangla-NLI Public

    This research examines Large Language Models in Bengali Natural Language Inference, comparing them with state-of-the-art models using the XNLI dataset.

    Jupyter Notebook 3 1

  3. BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification Public

    Forked from Mukaffi28/BanglaCalamityMMD-A-Comprehensive-Benchmark-Dataset-for-Multimodal-Disaster-Identification

    This study presents a novel multimodal fusion technique for disaster identification in Bangla, combining text and image data using the "BanglaCalamityMMD" dataset. Employing DisasterTextNet, Disast…

    Jupyter Notebook

  4. Retinal-Fundus-Classification-using-XAI-and-Segmentation Retinal-Fundus-Classification-using-XAI-and-Segmentation Public

    This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.

    Jupyter Notebook 5 2

  5. ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes Public

    Forked from Mukaffi28/ExplainableAI-PotatoGAN-Cutting-Edge-Disease-Identification-for-Potatoes

    This research introduces PotatoGANs, a novel data augmentation technique using GANs to generate synthetic potato disease images, improving model generalization in agricultural disease segmentation

    Jupyter Notebook 1

  6. Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset Public

    Forked from Mukaffi28/Vashantor-A-Large-scale-Multilingual-Benchmark-Dataset

    This study addresses the gap in translating Bangla regional dialects into standard Bangla by creating a large-scale multilingual benchmark dataset of 32,500 sentences in Bangla, Banglish, and Engli…

    Jupyter Notebook