🗺️ Web GIS for Field Operations & Location-Based Data Collection I developed an interactive geospatial platform designed to help teams visualize, manage and update field-work information directly on a map. The application combines Web GIS, satellite imagery, spatial data management and field reporting in a single workflow. Key capabilities include: • Interactive field map with spatial work areas • Color-coded work / prescription classifications • Multiple GIS sub-maps and project views • Satellite and OpenStreetMap basemap switching • Work completion and status tracking • Location-based field-point creation • GPS coordinate capture • Field categorization and notes • Photo attachment support for field observations • Map-based project and team workflows The goal is to replace disconnected field records with a centralized spatial workflow, where teams can see exactly where work is required, record observations from the field, and maintain geographically accurate project information. Built around Web GIS, spatial databases and interactive mapping. Interested in projects involving GIS development, field-data collection, asset management, spatial dashboards and geospatial workflow automation.

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🚗🌍 Can a navigation system recommend the most fuel-efficient route instead of simply the shortest one? This project was developed as part of my MPhil Remote Sensing & GIS thesis. I designed and developed an intelligent Web GIS routing system that generates and compares four alternative routes between an origin and destination and recommends the most suitable route using a Multi-Criteria Decision-Making (MCDM) approach. Instead of considering only distance, the system evaluates multiple factors such as: • 🌱 Fuel-efficiency / environmental suitability • ⏱ Travel duration • 🚧 Road hurdles and route conditions • 📏 Travel distance The alternatives are evaluated using a TOPSIS-based decision model, allowing the system to identify the route with the best overall balance rather than simply choosing the shortest path. I also integrated an AI assistant that explains route recommendations in natural language, helping users understand why one route is preferable to the alternatives. Key features: • Interactive Web GIS navigation • Four-route generation and comparison • MCDM/TOPSIS route ranking • Fuel-efficient route recommendation • Route distance and travel-time analysis • Road-condition / hurdle consideration • AI-generated route explanations • Interactive route visualization • Decision-support interface for sustainable mobility Built with Python, Django, GIS, Leaflet/OpenStreetMap, MCDM and AI integration. This research explores how GIS + decision science + AI can support smarter and more sustainable urban mobility.

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🛰️ AI-Powered Building Detection & Human-in-the-Loop GIS A look at a geospatial AI platform I developed for detecting, reviewing, and managing building footprints from satellite imagery. The workflow combines GeoAI, GIS and human validation to turn AI predictions into reliable geospatial datasets. In this demo: • AI-based building footprint detection • Interactive satellite imagery and GIS mapping • Building polygon visualization • Confidence-based AI predictions • Accept / reject prediction workflow • Manual correction of detected footprints • Human-reviewed labels for future model improvement • Geospatial coordinates and building-level data management The goal is to create a scalable workflow where AI performs the initial mapping while human review improves accuracy and provides better training data for subsequent model versions. Built around GIS + GeoAI + computer vision + satellite imagery. Always interested in connecting with people working in GIS, GeoAI, remote sensing, mapping and spatial AI.

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Built a modern Web GIS application for interactive spatial analysis, map visualization, and geospatial data comparison. The platform integrates mapping technologies, satellite imagery, and location-based analytics to help users explore geographic data and make informed decisions. Developed using GIS workflows, Python, and web mapping technologies for a responsive and user-friendly experience.

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Ahmad Mustafa

GIS & Python Developer | Geospatial AI Specialist