animal-information-android-app

lifecycle Animal Information Android App

apply-decision-tree

Implement Decision Tree classifier to classify the data.

fay-balhareth

headache-types-expert-system

The headache diagnosis system, developed using Prolog to accurately identify and differentiate between various headache types.

lab-1

This lab introduces fundamental Python concepts through exercises, covering topics such as data type conversion, list manipulation, dictionary operations, string formatting, numpy array operations, and basic matplotlib plotting.

lab-10

This lab introduces image segmentation techniques using global thresholding and Otsu's method; explore parameter tuning for Felzenszwalb and SLIC algorithms, adjusting scale, sigma, min_size, n_segments, and compactness parameters to optimize image segmentation results for different applications.

lab-11

This lab focuses on corner detection using the Harris Corner Detector, Gabor filters for texture analysis, and blob detection using LoG, DoG, and DoH methods.

lab-2

Apply Basics Operations on the Image

lab-3

This lab explores image processing techniques using OpenCV in Python. Tasks include converting an RGB image to the HSV color space, translating an image, rotating an image without cropping, and scaling an image.

lab-4

This lab focuses on image transformation techniques in OpenCV with Python. Tasks include creating mirror images using both Affine and Projective transformations, applying a Log Transformer for contrast adjustment, and implementing a Power-Law Transformer for gamma correction.

lab-5

This lab explores essential image enhancement techniques using OpenCV in Python. Tasks include Contrast Stretching, Thresholding and Half Toning, Histogram Equalization, and Histogram Matching.

lab-6

This lab explores various image filtering techniques using OpenCV in Python. Tasks include applying box blur and Gaussian blur with different kernel sizes, followed by implementing geometric mean, harmonic mean, median, and max/min filters using 3x3 kernels.

lab-7

This lab demonstrates image sharpening technique using OpenCV in Python; to enhance image details and edges.

lab-8

This lab focuses on edge detection in images using various operators in OpenCV with Python. Tasks include applying the Sobel, Roberts, and Prewitt operators to detect edges.

lab-9

This Lab focuses on apply morphological image processing techniques include dilation, erosion.

predict-students-pass-or-fail

This project uses data mining to analyze student performance and predict pass/fail outcomes.

seat-belt-detection

Seat Belt Detection using YOLO v5, v8, v9 for image processing course. Evaluate performance on a consistent dataset. Compare variations in YOLO models.

simple-log-in-function

Utilize Android Studio's Java capabilities to implement a login function

simple-note-app

Simple note-taking app that allows users to add new notes and view a list of existing notes. Each note should have a title, and users should be able to add new notes and view the list of notes.

simple-preprocessing-

This data preprocessing involves loading the dataset, dropping irrelevant columns, handling missing ', and filling missing values in 'Age' and 'Score' with the mean. Additionally, it converts categorical values to numeric for the gender column and applies feature scaling/normalization to the age and score columns using MinMaxScaler.

study-notes

The Study Notes Android App is a project developed using Android Studio and Java that aims to provide students with a platform to create, organize, and review study notes on their mobile devices.