Mohammed
Al-Ameri

Implemented a robust authentication system with email and mobile verification, ensuring user identity verification and account security through multiple verification channels.

Engineered a real-time auction system with WebSockets that handles concurrent bidding, winner selection, and instant notifications, maintaining data consistency even under high traffic.

Developed a comprehensive notification infrastructure that delivers real-time updates via WebSockets and triggered emails for all auction events, ensuring users never miss critical information.

Built a secure messaging system with end-to-end encryption that allows buyers and sellers to communicate privately while maintaining message integrity and confidentiality.

Engineered a custom authorization framework where a single Golden Admin has full control—capable of managing content and assigning custom permission levels to sub-admins. This system supports fine-grained access control, ensuring security and administrative flexibility.

Developed a structured content system that aggregates various student materials—lecture videos, mock exams, PDF books, and more—into a categorized and searchable directory, improving access and discoverability.

Implemented a secure page where the access password is periodically updated by the Golden Admin. This mechanism adds an extra layer of protection for sensitive pages while ensuring only trusted users can gain access.

Built an intuitive admin dashboard where the Golden Admin can assign roles (e.g., content uploader, editor, moderator), each with custom capabilities. The UI dynamically reflects role-based permissions for security and clarity.

Engineered an intelligent routing algorithm that calculates optimal paths between stations, handles complex multi-hop transfers, and provides step-by-step navigation instructions with real-time direction guidance and interchange management.

Developed a robust geolocation system with multiple fallback mechanisms, coordinate extraction from Google Maps URLs, and current location detection with comprehensive error handling and user-friendly notifications.

Built a modern, mobile-first interface with dark/light theme support, smooth animations using Framer Motion, and touch-optimized components that provide seamless experience across all devices and screen sizes.

Implemented a comprehensive route display system with step-by-step instructions, station information cards, walking directions integration, and external navigation links for complete door-to-door journey planning.

Integrated real-time satellite data processing with advanced NDVI (Normalized Difference Vegetation Index) calculations to provide accurate vegetation health assessments and growth pattern analysis across multiple geographic scales.

Developed a comprehensive IoT sensor network integration system that combines ground-level environmental data (soil moisture, temperature, humidity) with satellite observations for enhanced monitoring accuracy.

Implemented machine learning algorithms that analyze historical and real-time data to predict plant growth patterns, identify potential issues early, and provide actionable insights for agricultural decision-making.

Built a scalable platform architecture that serves farmers, researchers, and citizen scientists with role-based access, personalized dashboards, and collaborative features for sharing environmental observations and insights.

Integrated a custom-trained AI model that processes uploaded brain scans and delivers immediate, structured diagnostic results, assisting doctors in identifying abnormalities, patterns, and critical indicators.

Built a streamlined upload interface where users can securely submit brain scans (e.g., MRI, CT) and view AI-generated results in real-time, along with visual overlays and confidence scores.

Developed a secure environment where licensed doctors can view cases, add clinical notes, annotate scans, and share insights with peers—enabling second opinions and collective diagnosis workflows.

Implemented tools for doctors to annotate scans, comment on AI results, and track decision changes, fostering accountability and collaborative learning.

Designed and implemented a custom cryptocurrency payment system that supports multiple tokens, with real-time price conversion and transaction verification.

Built a robust authentication system with JWT, role-based access control, and secure password handling to protect user accounts and sensitive data.

Designed an efficient MongoDB schema with proper indexing that reduced query times and improved overall application performance.

Implemented WebSocket-based real-time notifications for transaction updates, new listings, and user interactions to enhance user engagement.