Freelancers using ArcGISFreelancers using ArcGIS
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HONGDAN CHEN's avatar
HONGDAN CHEN
China
Spatial Data Visualization & AI Workflow Systems
Spatial Data Visualization & AI Workflow Systems
Cover image for From static maps → interactive
From static maps → interactive spatial experiences. 🚀 Recently experimented with building a Geo-inspired commute dashboard using Vibe Coding + geospatial visualization. The interesting shift for me: Instead of spending days moving between GIS software, frontend development, and UI iteration, ideas can become working interfaces much faster. Still early, but it opens up interesting possibilities: → spatial analytics that feel more accessible → interfaces ready for predictive layers and AI workflows → reducing the barrier between geographic data and end users Curious where GIS + AI + Vibe Coding goes next.
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Cover image for One of the most interesting
One of the most interesting shifts in AI right now: Real estate AI systems are only as smart as the spatial data behind them. Just wrapped up a GeoAI-oriented automation project for large-scale parcel intelligence in Australia. Built a standalone workflow that automatically detects: → frontage roads → corner lots → parcel orientation → multi-road adjacency → spatial access relationships The interesting part wasn’t the GIS itself. It was converting messy spatial relationships into structured knowledge that downstream AI systems can actually understand. A lot of “AI for real estate” conversations focus on LLMs. But the real bottleneck is often: How do you turn geography into machine-readable reasoning context? Ended up packaging the entire workflow into a production-ready executable app for non-technical teams, with batch processing + configurable spatial rules. Feels like we’re moving from: “mapping data” to “building spatial reasoning infrastructure.” #GeoAI #PropTech #SpatialComputing #Automation #GIS #AIInfrastructure
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Cover image for I create interactive 3D city
I create interactive 3D city visualizations showing how urban areas evolve over time. Using Kepler.gl (http://Kepler.gl), building footprint data is visualized in 3D with a time slider based on construction year, revealing the growth of a city. Each building is clickable and includes a direct link to street-level imagery in Google Street View, allowing users to explore the real-world view of the building. This visualization is ideal for urban planning, real estate analysis, city storytelling, and digital twin presentations.
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Cover image for 🚀 Most people calculate driving
🚀 Most people calculate driving distances one route at a time. That doesn’t scale. I built an Excel-based tool that automates distance and travel time calculations for large datasets using an API. You can input hundreds of origin–destination pairs and get: ☑️ Distance (miles/km) ☑️ Travel time (minutes) ☑️ All processed in bulk, directly in Excel. This is particularly useful for: ☑️ Freight pricing models ☑️ Logistics planning ☑️ Route analysis ☑️ Location-based datasets What used to take hours can now be done in minutes. Happy to share more details or customize it for specific workflows. https://contra.com/s/eFoEEFRF-bulk-driving-distance-and-time-calculator-excel-api-automation
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ArcGIS(3)
Ahmad Mustafa's avatar
Ahmad Mustafa
Lahore, Pakistan
GIS & Python Developer | Geospatial AI Specialist
New to Contra
GIS & Python Developer | Geospatial AI Specialist
Cover image for 🗺️ Web GIS for Field
🗺️ 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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Cover image for GIS-based spatial analysis and mapping
GIS-based spatial analysis and mapping project using ArcGIS, QGIS, and Remote Sensing data. Developed accessibility, land use, and spatial distribution maps to support urban planning and decision-making.
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Cover image for 🚗🌍 Can a navigation system
🚗🌍 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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Cover image for 🛰️ AI-Powered Building Detection &
🛰️ 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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ArcGIS(2)
Andi Ramdani's avatar
Andi Ramdani
Bandung, Indonesia
Work Life Balance
Work Life Balance
Cover image for Geomorphological Mapping Project | GIS
Geomorphological Mapping Project | GIS Analysis Just wrapped up a geomorphological mapping project for a site located in Pasir Gadung Village, Pandeglang, Banten. This work focuses on identifying landform characteristics and terrain variation to support better spatial understanding and decision-making. In this map, I combined elevation data, contour analysis, and spatial interpretation to classify geomorphological units—highlighting areas dominated by undulating hill formations. The red polygons represent the project activity zones, supported by coordinate points collected from the field. I also included a cross-section (A–B) to visualize terrain changes more clearly, giving a better perspective of slope variation and landform structure across the site. Tools & Approach: - GIS processing and spatial analysis - Contour and elevation modeling - Geomorphological interpretation - Map layout and visualization This kind of analysis is essential for projects related to land development, environmental assessment, and infrastructure planning. Always open to feedback and collaboration—let’s connect 🚀
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Cover image for Professional Geomorphology Map & Terrain
Professional Geomorphology Map & Terrain Profile (ArcGIS/QGIS) I create precise and visually clear geomorphological maps like this, including: - Contour mapping (index & detailed) - Landform interpretation - River and infrastructure overlay - Project boundary mapping - Elevation cross-section analysis (A–B profile) Perfect for research, environmental analysis, mining, or land development projects.
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Cover image for BIPA AI — AI-Powered Pronunciation
BIPA AI — AI-Powered Pronunciation Learning Platform BIPA AI is an intelligent pronunciation learning platform that helps non-native Indonesian speakers improve their speaking skills through AI-driven speech analysis and personalized learning. The platform evaluates pronunciation across multiple dimensions—including pronunciation accuracy, fluency, intonation, clarity, vowel articulation, phoneme accuracy, and native speaker similarity—to provide detailed, actionable feedback after every speaking exercise. Designed as more than just a speech analyzer, BIPA AI introduces structured pronunciation tasks, learning progress tracking, historical performance analytics, and adaptive AI recommendations, creating an engaging learning experience similar to modern language learning platforms. By combining speech processing, machine learning, and interactive analytics, the application transforms spoken audio into measurable insights that support continuous pronunciation improvement. Highlights - AI-based pronunciation evaluation - Native speaker comparison - Speech performance analytics dashboard - Guided pronunciation learning - Personalized AI feedback - Long-term learning progress tracking - Modern responsive web application
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Cover image for This project aims to design
This project aims to design and develop a modern mobile-based construction and home renovation platform tailored for the Indonesian market. The platform will serve as an integrated ecosystem that connects homeowners with building material suppliers, renovation service providers, contractors, and project monitoring tools within a single digital experience. The product is designed to address common challenges faced by Indonesian homeowners during renovation processes, including difficulty finding trusted contractors, lack of transparency in project progress, fragmented purchasing workflows for construction materials, and limited digital tools for renovation management. The platform combines four core service pillars: Building material marketplace Home renovation and repair services Contractor and worker booking system Renovation project monitoring and documentation The application is intended primarily for non-technical homeowners who require a simple, guided, and trustworthy renovation experience. Therefore, the product strategy emphasizes beginner-friendly navigation, transparent workflows, intuitive mobile interactions, and a modern premium user experience that remains approachable for mass-market users. From a product and UX perspective, this project focuses on creating a startup-grade mobile application blueprint that includes: Product architecture and information hierarchy Mobile UX strategy and interaction design End-to-end user journey planning Marketplace and service booking workflows Renovation project management experience Scalable design system planning Component and navigation structure Screen-by-screen UX documentation Trust-building and accessibility considerations The final output of this project will function as a comprehensive product design foundation for: UI design development in Figma Design system implementation Frontend and mobile application development UX documentation and stakeholder alignment MVP planning and startup execution strategy The visual and interaction direction will adopt a modern startup aesthetic inspired by leading digital platforms such as Tokopedia, Gojek, Stripe, Linear, and Airbnb, combining marketplace usability with clean and elegant mobile-first design principles. This initiative is expected to produce a scalable, production-ready mobile product framework capable of supporting future business growth, service expansion, and digital transformation within Indonesia’s home renovation and construction industry.
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ArcGIS(2)
Aneeq Abbasi's avatar
Aneeq Abbasi
Karachi, Pakistan
GIS, Data Analytics, Database Specialist & Automation Expert
New to Contra
GIS, Data Analytics, Database Specialist & Automation Expert
Cover image for Performed county-level spatial analysis by
Performed county-level spatial analysis by integrating clinical trial site data with U.S. socioeconomic datasets, classifying median household income ranges, and producing a choropleth map to visualize geographic disparities in clinical trial coverage.
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Cover image for Performed flood risk assessment around
Performed flood risk assessment around Hub Dam by integrating stream networks, multi-distance floodplain buffers, DEM/elevation, slope analysis, and land-use classification to identify safe, low, moderate, and high flood-risk zones.
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Cover image for Built an end-to-end Python web
Built an end-to-end Python web application for real-time financial data analysis and prediction, combining live market feeds, technical indicators, predictive analytics, interactive charts, filtering controls, and trade risk metrics in a responsive dashboard.
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Cover image for Developed a normalized RDBMS for
Developed a normalized RDBMS for an automated Forex trading platform, designing interconnected tables and relational schemas to manage market data, technical indicators, ML predictions, trading signals, portfolios, execution records, risk metrics, and backtesting results.
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ArcGIS(2)
Gabriel Homoky's avatar
Gabriel Homoky
Uzhhorod, Ukraine
Visual Artist in 3D, VFX, mirroring ideas into reality.
Visual Artist in 3D, VFX, mirroring ideas into reality.
Cover image for AERIAL RENDERS - MANCHESTER AIRPORT HOTELS
AERIAL RENDERS - MANCHESTER AIRPORT HOTELS
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Cover image for 3D CHARACTER - CARLY
3D CHARACTER - CARLY
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Cover image for FINISHED INTRODUCTION FILM - JASPER
FINISHED INTRODUCTION FILM - JASPER
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Cover image for WIP COMMERCIAL FILM - DAINESE
WIP COMMERCIAL FILM - DAINESE
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ArcGIS(1)
Sadaqat Ali's avatar
Sadaqat Ali
Islamabad, Pakistan
Where geography meets design excellence
New to Contra
Where geography meets design excellence
Cover image for Designed and developed an interactive
Designed and developed an interactive web visualization application featuring dynamic maps, data dashboards, and user-friendly analytics. The platform enables efficient exploration of complex data through responsive and visually engaging interfaces.
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Cover image for Created a 3D urban parking
Created a 3D urban parking facility model for a city development project, showcasing efficient parking layouts, traffic circulation, and public accessibility. The visualization supported urban planning, infrastructure design, and decision-making processes.
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Cover image for Geospatial Analyst & 3D Modeling
Geospatial Analyst & 3D Modeling Specialist for Infrastructure, Mining & Urban Development
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Cover image for Developed a high-resolution 3D road
Developed a high-resolution 3D road corridor model using GIS and terrain data to visualize road alignment, elevation profiles, and surrounding landscapes. The project delivered realistic engineering-grade visualizations for planning, stakeholder presentations, and project documentation.
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ArcGIS(3)
Sunbeam Rahman's avatar
Sunbeam Rahman
Calgary, Canada
Geospatial wizardry: analyze, code, export, repeat!
Geospatial wizardry: analyze, code, export, repeat!
Cover image for Forest health assessment using GEOBIA
Forest health assessment using GEOBIA
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Cover image for Canopy crown indentification using LiDAR
Canopy crown indentification using LiDAR
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Cover image for Vegetation analysis with OBIA
Vegetation analysis with OBIA
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Cover image for LiDAR data processing for CHM
LiDAR data processing for CHM
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ArcGIS(2)