SalehAhmedShafin
Python Developer @Codemen Solutions Limited. Coding Is Life. Graduate from BSc. Engineering in CSE | Machine Learning | Deep Learning | Database | Gamer
Dhaka, Bangladesh
Pinned Repositories
API-Test-for-MPD-Machine-Learning-AI
Competitive-Programming-CP-
Multimodal-Disaster-Event-Identification-from-Social-Media-Posts
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 can successfully classify the materials that have been damaged using the image and text data. EfficientNetB3+BERT multimodal better accuracy with 94.18%
Project-Broadband-Management-System
Broadband management system is a java swing based project. MSSQL is used as database. In final, it is mainly management type project
Pytorch-Custom-CNN-model
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 for regularization, and ends with a linear output layer for classification.
SalehAhmedShafin.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ShopManagementWithDDS
Shop Management System is a management system project where products can be inserted to different site’s database and searching functionality from different sites is also introduced in this distributed database project.
Stock-Market-Data-Visualization-Django-Apps
This project provided valuable insights into full-stack web development, data visualization, and database management, enhancing skills in Python, Django, Chart.js, and version control.
Test-for-MPD-Machine-Learning-AI
The "Test-for-Middle-Python-Developer-Machine-Learning-AI" repository is a concise evaluation tool for middle-level Python developers in Machine Learning and AI. Candidates tackle three core tasks: creating a neural network using TensorFlow or PyTorch, working with databases for data management, and integrating with a Google API.
XAI-and-Deep-Neural-Networks-for-Crop-Disease-Detection-and-Interpretability
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. InceptionV3 was achieved as the best model with the highest accuracy of 97.20% accuracy.
SalehAhmedShafin's Repositories
SalehAhmedShafin/XAI-and-Deep-Neural-Networks-for-Crop-Disease-Detection-and-Interpretability
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. InceptionV3 was achieved as the best model with the highest accuracy of 97.20% accuracy.
SalehAhmedShafin/Stock-Market-Data-Visualization-Django-Apps
This project provided valuable insights into full-stack web development, data visualization, and database management, enhancing skills in Python, Django, Chart.js, and version control.
SalehAhmedShafin/API-Test-for-MPD-Machine-Learning-AI
SalehAhmedShafin/Competitive-Programming-CP-
SalehAhmedShafin/Multimodal-Disaster-Event-Identification-from-Social-Media-Posts
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 can successfully classify the materials that have been damaged using the image and text data. EfficientNetB3+BERT multimodal better accuracy with 94.18%
SalehAhmedShafin/Pytorch-Custom-CNN-model
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 for regularization, and ends with a linear output layer for classification.
SalehAhmedShafin/SalehAhmedShafin.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
SalehAhmedShafin/ShopManagementWithDDS
Shop Management System is a management system project where products can be inserted to different site’s database and searching functionality from different sites is also introduced in this distributed database project.
SalehAhmedShafin/Test-for-MPD-Machine-Learning-AI
The "Test-for-Middle-Python-Developer-Machine-Learning-AI" repository is a concise evaluation tool for middle-level Python developers in Machine Learning and AI. Candidates tackle three core tasks: creating a neural network using TensorFlow or PyTorch, working with databases for data management, and integrating with a Google API.
SalehAhmedShafin/Algorithm-Visualizer
Welcome to the Algorithm Visualizer! In this interactive tool, we will explore and visualize seven different algorithms to deepen our understanding of their inner workings.
SalehAhmedShafin/Automated-Water-Pump-with-PH
This is a little bit hard project. But I will explain it in a simple manner.
SalehAhmedShafin/CaptainWhiteApron
This is a iGraphics based project. This is mainly a desktop game. It is developed at the time of COVID-19 span of time. Also, in this game corona virus were comming out from the one corner of a screen and and a doctor were killing this virus. So this game is such a interesting game. This is 2D game
SalehAhmedShafin/DepthEstimationOfEndoscopyUsingPytorch
Welcome to the Depth Estimation of Endoscopy using PyTorch! In this project, we explore the fascinating field of depth estimation in endoscopic images using the power of PyTorch, a popular deep learning framework.
SalehAhmedShafin/JerseyLagbe
This is Jersey selling website which is developed by HTML, CSS, Bootstrap, Carousel, JS, PHP.
SalehAhmedShafin/MVCProject
Bachelor-Neer is an online based house rental management system. It’s basically an online platform to rent ones comfort place.Just like there are tons of websites for online shopping where one can choose from various options then select one here also one has the liberty to choose from various options and from various places.
SalehAhmedShafin/SalehAhmedShafin
Config files for my GitHub profile.
SalehAhmedShafin/Analyzing-House-Price-in-Bangladesh
It is the detailed collection of house listings from various cities and regions in Bangladesh, with a specific focus on Dhaka and Chittagong. It encompasses essential details such as location, property type, size, amenities, and pricing.
SalehAhmedShafin/Backward-Chaining-and-Implement-First-Choice-Hill-Climbing-Algorithms
SalehAhmedShafin/Bangladesh-Economic-Indicators-Analysis
This repository contains a comprehensive analysis of Bangladesh's economic indicators, focusing on its rapid growth and the significance of its financial sector.
SalehAhmedShafin/BUET-DL-Competition
Detectron2 is a modular, flexible, and scalable object detection framework that is built on top of PyTorch. It provides a number of state-of-the-art object detection algorithms, including Mask R-CNN, Faster R-CNN, and YOLOv4.
SalehAhmedShafin/Case-Study-Underperforming-Text-Analysis-Model
SalehAhmedShafin/Django-Coding-Assessment
SalehAhmedShafin/k-means-clustering-algorithm
Perform the k-means clustering algorithm applying Euclidean distance as a distance measure on the given dataset with k=2. And, Color the corresponding points on the clusters with different colors.
SalehAhmedShafin/K-Nearest-Neighbors-KNN-
KNN is a simple supervised machine learning algorithm used for classification and regression tasks. It predicts the label of a data point based on the majority class of its k nearest neighbors.
SalehAhmedShafin/Ludo-Legend-WebGL-Three.Js
This project explores the development and implementation of Ludo games using WebGL (Web Graphics Library) technology.
SalehAhmedShafin/Messenger-Bot-Script
Messenger Bot Script is a powerful yet user-friendly tool for automating repetitive messaging tasks on Messenger.
SalehAhmedShafin/Naive-Bayes-Classification-and-Random-Forest-Classification-Comparison
Naive-Bayes-Classification-and-Random-Forest-Classification-Comparison Imaplementation with use any built in function
SalehAhmedShafin/Perceptron-algorithm-for-finding-the-weights-of-a-Linear-Discriminant-function
The Perceptron algorithm is a simple and classic algorithm used for binary classification. It finds the weights of a linear discriminant function that can separate two classes of data points.
SalehAhmedShafin/Snake-Game-Python
Welcome to the Basic Snake Game in Python! In this simple yet engaging game, you'll take control of a snake and navigate it around the screen, trying to eat food and grow in length. Your goal is to achieve the highest score possible without colliding with the walls or your own body.
SalehAhmedShafin/Without-use-library-function-Minimum-Error-Rate-Classifier
Minimum Error Rate Classifier aims to minimize the total classification error by considering the costs associated with misclassification. It involves assigning each data point to the class that results in the least total cost. The cost matrix specifies the cost of misclassifying one class as another.