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sehab1611251/README.md

Hi there! 👋 I'm [Pranta]

Master's Student in Artificial Intelligence and Data Engineering

🔭 I’m currently working on my Master's thesis: "Human Pose Estimation and Group Detection Using Computer Vision."

🌱 I’m currently learning and exploring:

  • Advanced Computer Vision Techniques
  • Neural Networks and Deep Learning
  • Natural Language Processing
  • Large-scale Data Processing

👨‍💻 Some of my key projects:

⚡ Fun fact: I'm passionate about making AI systems solve real-world problems.

📫 How to reach me:

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  1. NLP-Project NLP-Project Public

    This repository contains the coding implementation of my project, "Spam Detection in Emails Using RNN with Attention Mechanism." I have added two Google Colab Notebook copies to this repository. On…

    Jupyter Notebook

  2. Clustering-Unsupervised-ML-Project Clustering-Unsupervised-ML-Project Public

    In this clustering problem, I have implemented three Unsupervised Learning algorithms: the Mixture of Gaussians, Mean Shift, and Normalized Cut, and explained the difference between the three models.

    Jupyter Notebook

  3. Road-Defect-Detection-Using-Image-Annotation Road-Defect-Detection-Using-Image-Annotation Public

    This is a computer vision research project. This is an improvement of the "Road Defect Detection" project, which is implemented using the Mask R-CNN algorithm.

    1 1

  4. Discriminative-and-Generative-Classifiers-for-handwritten-digits Discriminative-and-Generative-Classifiers-for-handwritten-digits Public

    In this handwritten digit classifier problem, I have implemented and analyzed the Discriminative and Generative Classifiers and compared their results and behavior. I have implemented the solution …

    Jupyter Notebook

  5. Facial-Expression-Recognition-with-HOG-using-CNN Facial-Expression-Recognition-with-HOG-using-CNN Public

    This project has been developed to detect basic human expressions like Angry, Disgust, Fear, Happy, Sad, Surprise, and Neutral using CNN (Convolutional neural network).

    Python

  6. Pairwise-Document-Similarity-Computation-for-Big-Data Pairwise-Document-Similarity-Computation-for-Big-Data Public

    This problem involves calculating the pairwise similarity between all documents in a corpus. I have done this using the similarity measure, Cosine similarity. I have demonstrated the sequential and…

    Jupyter Notebook