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Mohammad Hussam ul Islam's Projects

albumentations icon albumentations

This repository contains Python code that implements an image augmentation pipeline using the albumentations library. The pipeline performs various augmentations on input images and corresponding labels and saves the augmented images and labels in separate directories.

collegebot icon collegebot

CollegeBot is a chatbot project that provides information about various college-related topics, such as courses, fees, admission process, faculty, and events. It uses Rasa framework to implement natural language understanding and generation techniques, and handle complex queries using dialogue management techniques.

grain-quality-prediction icon grain-quality-prediction

The project is a web application that predicts grain quality based on size, shape, color, and texture. It utilizes logistic regression models and label encoders trained on a grain quality dataset. The user interacts with the application through a user-friendly interface built with streamlit widgets and functions.

image-augmentor icon image-augmentor

ImageAugmentor is a repository for image data augmentation using the popular library Albumentations. Spice up your machine learning projects with a variety of transformations like flips, rotations, and crops to make your models more robust.

moontracking icon moontracking

# Detecting Moon with Machine Learning ## First step would be to set Accelarator as GPU ### In this tutorial, you will learn how to use basic functions and libraries used for data analysis and getting started with machine learning. #### Note: This lession will not be very comprehensive and you may face some problem understanding it if you are a complete beginner but we have attached links to all the official documents to make things easy for you. Hope you get enjoy it!!

predicting-cvd-risk-and-outcomes-with-rnn icon predicting-cvd-risk-and-outcomes-with-rnn

This project uses recurrent neural networks to predict the risk factors and outcomes of cardiovascular diseases based on medical data. It achieves an impressive AUC score of 0.9 on the test set, and provides data-driven recommendations for improving the clinical decision making.

stimulervoicex icon stimulervoicex

StimulerVoiceX is a denoising and speech enhancement system. It uses deep learning techniques to remove noise from speech signals and improve their quality and clarity. It can handle various types of noise, such as white noise, babble noise, or environmental noise. It can also enhance speech features, such as volume, pitch, or timbre.

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