Projects Portfolio
Hospital Management System
Designed and developed a scalable hospital management system with patient records, appointments, billing, and doctor dashboards.
Real-time patient updates, interactive dashboards, and secure API authentication were implemented for administrators and staff.
Key Features
- Patient Records & Appointments
- Billing & Invoicing
- Role-Based Access
- Vue.js Dashboards
- Secure API with JWT
- SQL Server Backend
AI Job Scraper
Built an AI-powered job automation system that scrapes, filters, and auto-applies to U.S. job listings using NLP, with SQL Server-backed data management and real-time notifications.
It Targets Mostly audience of USA and Designed and developed an AI-powered job scrapper that extracts job listings from multiple sources on daily basis. Implemented natural language processing (NLP) techniques to categorize and filter job listings based on user preferences. Automatically Apply to relevant job listings for User and Get response & Notfications via email or SMS. Integrated with SQL Server to store and manage job listings and user preferences efficiently.
Key Features
- Multi-Source Job Scraping
- AI-Based Filtering (NLP)
- Smart Auto-Apply System
- Personalized Job Matching
- Real-Time Notifications
- SQL Server Data Management
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KinetiMarket Store
Built a localized WordPress-based e-commerce platform for Middle Eastern markets, enabling the online sale of Egyptian bakery items, produce, and fashion with a seamless shopping experience.
It was Mostly tarhgeted for local markets of Middle East and designed to sales Egyptian products in Middle East like Famous Bakery Items, Vegetables, Fruits and Women wearings. A fully functional e-commerce website using WordPress and Elementor Pro, providing a seamless shopping experience for customers.
Key Features
- WordPress + Elementor Pro Implementation
- Localized Market Targeting
- Product Catalog Management
- Secure Online Checkout
- Responsive Design
- User-Friendly Experience
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Vessels Monitoring and Tracking System
Designed and developed a scalable vessel monitoring and tracking system for maintaining vessel records and performance, including alerts and maintenance scheduling.
Built for vessel operational excellence with real-time location updates, performance sport metrics, dynamic alarms control, and maintenance timeline automation.
Key Features
- Vessel Performance Tracking
- Location & Route Monitoring
- Maintenance Scheduling
- Alert/Alarm System
- DataMiner Integration
- Fleet Overview Dashboard
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Atem Connector
Created a network device connector for DataMiner Cube to display physical device topology and manage service transmissions between devices and DataMiner.
Implemented real-time device discovery, connector state views, and traffic handover with XML configuration for monitoring systems.
Key Features
- Device Discovery
- Link Management
- XML Config Sync
- DataMiner Cube Integration
- C# Service Engine
- Status Visualization
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City Water Management System(Low Code Application)
Developed a comprehensive low-code application for city water management using Skyline and DataMiner Cube services, providing full control over water distribution systems with integrated database management.
A full-fledged water management system built on the DataMiner platform, enabling real-time monitoring and control of city water infrastructure, including flow rates, pump operations, and distribution networks, all backed by DataMiner's robust database.
Key Features
- Real-Time Water Flow Monitoring
- Pump and Valve Control
- Distribution Network Mapping
- Automated Alerts for Anomalies
- Historical Data Analysis
- SCADA System Integration
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Black Magic
Developed a catalog for Blackmagic Design Switchers SDK Connector, deployed on Skyline services to enable centralized control and monitoring of physical broadcast devices.
A comprehensive catalog solution that integrates Blackmagic Design switchers with the DataMiner platform, providing centralized control, real-time monitoring, and automated management of physical devices in broadcast and media environments.
Key Features
- Device Discovery and Registration
- Real-Time Status Monitoring
- Remote Control Capabilities
- Integration with DataMiner Ecosystem
- SDK-Based Connector Implementation
- Automated Device Management