01
Deep Learning · Space · Autonomous Navigation
Mars Rover Terrain Navigation System
DeepLabV3+ semantic segmentation trained on 16,604 NASA Mars EDR images for real-time autonomous rover navigation. Detects soil, rock, sky, and obstacles at 6–26 FPS. Live hazard avoidance logic (FORWARD / TURN / STOP) with obstacle threshold decision-making. F1-score: 0.52 with production-ready .pth checkpoint.
DeepLabV3+PyTorchResNet34NASA EDRSemantic SegmentationApple MPS
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02
Geospatial · ML · Full-Stack
NYC Accident Risk Intelligence
Full-stack geospatial system analysing NYC crash data with PostGIS spatial queries, hotspot detection, and ML severity-risk predictor (LOW/MEDIUM/HIGH). Flask REST API with 9 endpoints, Mapbox UI with 24-hour animation and real-time user report submission.
PostGISFlaskScikit-learnMapbox GL JSPostgreSQL
03
GIS · Web App · Logistics
NYC Truck Routing Platform
Web-based navigation platform generating truck-specific optimised routes across NYC, accounting for vehicle dimensions and local regulations. Integrates Google Maps API for real-time guidance and Stripe for payment processing.
Node.jsExpress.jsGoogle Maps APIStripeGIS
04
Remote Sensing · Google Earth Engine
Land Cover Change Detection
Detects and quantifies land cover change between 2001–2020 using MODIS MCD12Q1 in Google Earth Engine. Binary change maps, area calculations in km², and cloud-optimised GeoTIFF export at 30m resolution across 17 land cover classes.
Google Earth EngineMODISJavaScriptGeoTIFF
05
Climate · Remote Sensing · Carbon
Coastal Blue Carbon Mapping — Sundarbans
Maps coastal vegetation and estimates carbon stock in the Sundarbans using Sentinel-2 and MODIS in Google Earth Engine. Calculates NDVI, classifies vegetation, and performs historical change detection for blue carbon sequestration analysis.
Sentinel-2MODIS NDVIGoogle Earth EngineCarbon Stock
06
Renewable Energy · GEE · Spatial Analysis
Solar Suitability Score
Computes a composite solar suitability score using MODIS and Landsat in GEE. Analyses NDVI, land cover, terrain slope, and solar radiation to identify optimal zones for solar energy installation.
Google Earth EngineLandsatMODISSolar Radiation
07
Climate · ML · Data Visualisation
Hurricane Wind Speed Prediction
Tracks hurricane routes and predicts wind speed from barometric pressure using linear regression on NOAA Atlantic hurricane data. Interactive path visualisation with Folium and Plotly.
PythonScikit-learnFoliumPlotlyNOAA
08
AI · Disaster Management · Philippines
AI Early Warning System for Landslides
As Data Analysis Lead, built an AI-driven landslide risk prediction system for disaster-prone regions of the Philippines. Led preprocessing, feature engineering, and model training. Integrated with disaster management frameworks for real-time alerts.
Machine LearningPythonGISReal-time Alerts
09
Agriculture · Climate · ML
Rainfall Prediction Model
ML model predicting seasonal rainfall patterns from historical weather data. Regression algorithms identify key meteorological drivers — supporting agricultural planning and water resource management.
RegressionPythonPandasMatplotlib
10
Remote Sensing · LiDAR · DEMs
Terrain Analysis for LiDAR Flight Optimisation
Analysed Digital Elevation Models to compute optimal flight altitudes and swath widths for LiDAR data capture over varied topography — enhancing accuracy and cost-efficiency of environmental and infrastructure surveys.
DEMsJupyterLiDARPython