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SalehAhmedShafin/Readme.md

salehahmedshafin

Hello 👋, I'm Saleh Ahmed Shafin (Nickname is Shafin)

I am from Dhaka, Bangladesh. I am a passionate undergraduate student with a never-ending interest in science and arts. Into learning new things about technology and research with a view to solving engineering problems. I am mostly interested in Artificial Intelligence, specially solving problems using Machine Learning and Deep Learning techniques. A passionate about Machine Learning and Deep Learning.

Check out my repositories for project details!

  • 🌱 I’m currently learning Framework and Reinforcement Learning

  • 💬 Ask me about Machine Learning and Deep Learning

  • 📫 How to reach me salehahmedshafin7@gmail.com

Connect with me:

salehashafin   saleh-ahmed-shafin-0773b0193   22437643   positivesas   sa_shafin   sa_shafin  

Known Languages and Tools:

android   arduino   aws   c   cplusplus css3 dotnet firebase git html5 java javascript matlab mssql mysql nodejs opencv oracle pandas photoshop python pytorch scikit_learn seaborn sqlite   tensorflow

Language Stat:

salehahmedshafin

Repository Stat:

salehahmedshafin

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  1. Multimodal-Disaster-Event-Identification-from-Social-Media-Posts Multimodal-Disaster-Event-Identification-from-Social-Media-Posts Public

    We have proposed a multimodal approach. Where we first took the best unimodal for textual and visual data classification by testing and automation process. Then we fusion of the two models which ca…

    Jupyter Notebook 1

  2. XAI-and-Deep-Neural-Networks-for-Crop-Disease-Detection-and-Interpretability XAI-and-Deep-Neural-Networks-for-Crop-Disease-Detection-and-Interpretability Public

    Three different DNN models Xception, In- ceptionV3, and VGG19 were used for the classification of crop disease from the image dataset, and explainable AI XAI was used to evaluate their performance.…

    Jupyter Notebook 4

  3. Pytorch-Custom-CNN-model Pytorch-Custom-CNN-model Public

    The architecture is a deep neural network for image processing, composed of convolutional layers capturing features, followed by pooling and fully connected layers. It uses ReLU activation, dropout…

    Jupyter Notebook 1