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afnan algogandi's Projects

afnancv icon afnancv

AfnanCV is an image processing tool that allows users to edit and modify images using various tools.

arabic-dialect-identification-system icon arabic-dialect-identification-system

It is an Arabic Dialect Identification system. Its task is to identify the Arabic language dialect in a text format. It is challenging due to the high variability of Arabic dialects and the lack of large-scale annotated datasets.

attendance-system-using-facial-recognition icon attendance-system-using-facial-recognition

This project implements an attendance system using facial recognition. A deep learning model is built from scratch to identify faces in a video stream from a webcam. The model is trained on a dataset of images of people to be recognized and validated on a separate dataset. The attendance of recognized people is recorded in an Excel worksheet.

camp-ai icon camp-ai

All the codes of the artificial intelligence camp (applications in computer vision and image processing) Google Club for developer students

fashion-products-recommendation-system icon fashion-products-recommendation-system

This project implements a Fashion Product Recommendation System (FRS) using a pre-trained ResNet50 model for feature extraction and the Annoy algorithm for finding similar products. The system allows users to input an image of a fashion product and receives recommendations for similar products.

optimal-daily-diet icon optimal-daily-diet

find the best meal with the lowest cost and lowest calories (Minimize the calories and the cost)

robot-gardener-roga icon robot-gardener-roga

The smart home farmer takes care of the plants, uses Arduino, soil moisture sensor to control the watering process while also providing light to the plant. Robot Gardener will protect the soil ecosystem while delivering water at optimal levels for the plantโ€™s growth.

text-to-video-generation icon text-to-video-generation

This code takes an Arabic text description as input, translates it to English using Google Translate, and generates a video sequence that matches the translated text description. It utilizes a pre-trained model and diffusion techniques to create the video content.

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