Pinned Repositories
Chinook-SQL-Project
Face-Recognition-and-Analysis-System
This project provides a comprehensive real-time face recognition and facial analysis system using Python, OpenCV, Dlib, DeepFace, and the `face_recognition` library. The system detects faces, recognizes known individuals, and analyzes various facial attributes such as age, gender, emotions, and facial landmarks.
Fine-Tuned-MobileNet-On-Sign-Language-Digits
This project aims to create a machine learning model capable of accurately identifying digits (0-9) from sign language gestures. The model is based on the MobileNet architecture, which is a lightweight and efficient convolutional neural network (CNN) designed for mobile and embedded vision applications.
Fitness-Chatbot
This is a Retrieval-Augmented Generation (RAG) based chatbot application that combines a retrieval component and a generative language model to provide informative and context-aware responses.
Food-Market-Analysis
Food Market Analysis Comprehensive analysis of the food market, covering data preparation, exploratory data analysis (EDA), feature engineering, and machine learning modeling. Gain insights into customer demographics, meal preferences, and dining trends. Leverage findings for business decisions and further analysis.
Image-Feature-Explorer
This project implements Grad-CAM (Gradient-weighted Class Activation Mapping) using TensorFlow and Keras with the pre-trained VGG16 model to visualize class-specific areas of an image that the model focuses on during classification.
Investigate-The-FBI-Gun-Dataset
The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or >explosives. Gun shops call into this system to ensure that each customer does not have a criminal record or isn’t otherwise ineligible to make a purchase. The data has been >supplemented with state level data from census.gov.
Resturant-tip-analysis-and-prediction
Restaurant Tips Optimization Project Unlock the potential of your restaurant's earnings with our comprehensive Tips Optimization Project. We analyze customer data, unveil insights, and employ advanced machine learning models to predict tip amounts. This project empowers restaurant owners and staff to enhance services, boost earni
Text_Preprocessing_Pipeline
The Text Preprocessing Pipeline is a modular and reusable framework designed to prepare raw text data for natural language processing (NLP) tasks. The pipeline focuses on cleaning, normalizing, and transforming text to improve the performance and accuracy of downstream learning models.
X_Fit
This project aims to develop a comprehensive fitness assessment and workout planning system to assist users in achieving their fitness goals effectively. The system will allow users to register and undergo an initial assessment to determine their fitness level and goals. Based on the assessment results, the system will recommend personalized workou
Abdallahelraey's Repositories
Abdallahelraey/Fitness-Chatbot
This is a Retrieval-Augmented Generation (RAG) based chatbot application that combines a retrieval component and a generative language model to provide informative and context-aware responses.
Abdallahelraey/Food-Market-Analysis
Food Market Analysis Comprehensive analysis of the food market, covering data preparation, exploratory data analysis (EDA), feature engineering, and machine learning modeling. Gain insights into customer demographics, meal preferences, and dining trends. Leverage findings for business decisions and further analysis.
Abdallahelraey/Investigate-The-FBI-Gun-Dataset
The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or >explosives. Gun shops call into this system to ensure that each customer does not have a criminal record or isn’t otherwise ineligible to make a purchase. The data has been >supplemented with state level data from census.gov.
Abdallahelraey/Resturant-tip-analysis-and-prediction
Restaurant Tips Optimization Project Unlock the potential of your restaurant's earnings with our comprehensive Tips Optimization Project. We analyze customer data, unveil insights, and employ advanced machine learning models to predict tip amounts. This project empowers restaurant owners and staff to enhance services, boost earni
Abdallahelraey/X_Fit
This project aims to develop a comprehensive fitness assessment and workout planning system to assist users in achieving their fitness goals effectively. The system will allow users to register and undergo an initial assessment to determine their fitness level and goals. Based on the assessment results, the system will recommend personalized workou
Abdallahelraey/Chinook-SQL-Project
Abdallahelraey/Face-Recognition-and-Analysis-System
This project provides a comprehensive real-time face recognition and facial analysis system using Python, OpenCV, Dlib, DeepFace, and the `face_recognition` library. The system detects faces, recognizes known individuals, and analyzes various facial attributes such as age, gender, emotions, and facial landmarks.
Abdallahelraey/Fine-Tuned-MobileNet-On-Sign-Language-Digits
This project aims to create a machine learning model capable of accurately identifying digits (0-9) from sign language gestures. The model is based on the MobileNet architecture, which is a lightweight and efficient convolutional neural network (CNN) designed for mobile and embedded vision applications.
Abdallahelraey/Food-Delivery-Cost-Profitability-Analysis
Abdallahelraey/Image-Feature-Explorer
This project implements Grad-CAM (Gradient-weighted Class Activation Mapping) using TensorFlow and Keras with the pre-trained VGG16 model to visualize class-specific areas of an image that the model focuses on during classification.
Abdallahelraey/MNIST
This project implements a neural network model to classify handwritten digits using the MNIST dataset. The MNIST dataset is a widely used benchmark in machine learning and computer vision, consisting of 70,000 grayscale images of handwritten digits (0-9), each 28x28 pixels in size.
Abdallahelraey/MNIST-CNN-A-Modular-Approach
MNIST-CNN-A-modular-Approach is a project that trains a Convolutional Neural Network (CNN) on the MNIST dataset and deploys it using FastAPI. The project includes data preprocessing, model training, evaluation, and deployment. It also provides a web interface for uploading images and getting predictions.
Abdallahelraey/Restaurant-Sales-Analysis-BI-Dashboard-
This repository contains a comprehensive Power BI dashboard designed to analyze and visualize key performance indicators (KPIs) for restaurant sales. The dashboard provides valuable insights into various aspects of restaurant operations, helping stakeholders make data-driven decisions to optimize business performance.
Abdallahelraey/TensorFlow-A-Beginner-s-Guide
TensorFlow for Beginners: A Step-by-Step Guide
Abdallahelraey/Text_Preprocessing_Pipeline
The Text Preprocessing Pipeline is a modular and reusable framework designed to prepare raw text data for natural language processing (NLP) tasks. The pipeline focuses on cleaning, normalizing, and transforming text to improve the performance and accuracy of downstream learning models.
Abdallahelraey/SQL-Sales-and-Account-Analysis-Project
Abdallahelraey/Text-Summarization
Abdallahelraey/US-Bikeshare-Systems-