Ammar Yasser Rakha's starred repositories
python-for-kids
Meant for kids aged 10-16. Less about Python syntax and more about inspiring kids towards programming.
MLOps_roadmap_and_curriculum
Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to solve real life problems
embedded_pedometer
Accelerometer-based pedometer algorithm for embedded applications
ClusterWay
Official TensorFlow code for the paper "Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering" presented at ECML PKDD 2022.
Demo-Cattle-Health-Monitoring
This repo is just to demonstrate cattle health monitoring project. All development codes are kept confidential.
HeatStressEvaluation
Project repo for evaluating heat stress in dairy cows in Sweden
Predicting-Estrus-in-Cattle-from-Accelerometer-Data
Work based on Ling Yin's paper. Predicting estrus in cows from accelerometric data.
Font-Finder
Intelligent typefont recognition using OCR
Basketball-Action-Recognition
Spatio-Temporal Classification of 🏀 Basketball Actions using 3D-CNN Models on the SpaceJam Dataset.
AI-Basketball-Shot-Detection-Tracker
Machine learning and computer vision to detect and analyze basketball shots in real-time (2023)
-Cattle-Health-Monitoring-System-
In this project, we used sensors like pedometer, etc. which we mounted sensor data to AWS Cloud server through which we monitored the data. We then extracted this data from cloud, trained and predicted the disease class for the cattle (8 classes of disease taken for classification)
milk_thermophysical_properties
Predict the Heat Capacity, Thermal Conductivity and Density of Cow's Milk with Temperature, Water and Fat Content
Hut-et-al-2022
Heat stress in a temperate climate leads to adapted sensor-based behavioral patterns of dairy cows
HeatStress0708
Cow Heat Stress. Heat and Cool group. Data driven WGCNA.
Cattle-disease-prediction-using-Machine-Learning
Cattle disease prediction using Machine Learning. This project is used to predict the disease based on the symptoms. It predicts using 4 different machine learning algorithms. So, the output is accurate.
Soft-Glove-Hand-Tracking
Human machine interface with Unity & Arduino
Quera-MCQs-Generator
Graduation project about ai based Multiple choice questions generator.
BiologyLearningGamesAndAnimations
CSCE606_Project_Fall2021
myo-readings-dataset
Myo armband electromyographic readings dataset for various wrist gestures.
BasketTracking
Basketball 🏀 action tracking and understanding using classical computer vision approaches and deep learning.