AI + WebGIS Developer Needed for Decision Support & Atlas System (India-focused)
Budget: ₹1,500 – ₹12,500 INR
We are looking for an experienced AI/ML + GIS developer (and ideally a mentor with hackathon/project experience) to help build a prototype of a Decision Support and WebGIS system. The focus is on digitization of legacy records, integration with satellite/remote sensing data, and building an interactive GIS-based decision-making platform for development programs in India.
Project Scope:
The project will require combining AI/ML, Remote Sensing, and WebGIS. Key components include:
Data Digitization (Text & Records)
Develop OCR + NLP pipelines to digitize scanned documents.
Use NER (Named Entity Recognition) to extract structured details (names, locations, coordinates, claim status, etc.).
AI-based Asset Mapping
Use Computer Vision on satellite imagery (Sentinel-2, Landsat, etc.).
Detect and classify:
• Agricultural land
• Forest cover
• Water bodies (ponds, rivers)
• Homesteads / settlements
Apply supervised ML models (CNNs, Random Forest, etc.) for land-use classification.
WebGIS Development
Build an interactive WebGIS platform with multiple data layers.
Features should include filtering (state/district/village), progress tracking, and visualization of integrated datasets.
Integration with socio-economic and infrastructure data.
Decision Support System (DSS)
Build a rule-based + AI-enhanced DSS engine.
Recommend and prioritize interventions/programs (e.g., water schemes, agricultural schemes, welfare programs).
Deliverables:
Digitized and AI-processed archive of legacy records.
AI-generated spatial asset maps.
Interactive WebGIS Atlas with layers & filters.
DSS engine with actionable recommendations.
Requirements:
Strong skills in Python, GIS, and Remote Sensing (QGIS, GDAL, Rasterio, GeoPandas, Google Earth Engine).
Familiarity with OCR + NLP/NER pipelines.
Experience in AI/ML for geospatial data.
WebGIS development experience (Leaflet, Mapbox, GeoServer, or similar).
Ability to think strategically and iterate quickly (hackathon-style prototyping).
Nice to Have:
Prior experience in building decision support systems or GIS portals.
Knowledge of Indian datasets (satellite imagery, government open data portals, socio-economic data).
Hackathon-winning experience or past project success (please share LinkedIn profile or proof links).
Location Preference:
Developers familiar with India’s data and geography will be preferred.
Project Scope:
The project will require combining AI/ML, Remote Sensing, and WebGIS. Key components include:
Data Digitization (Text & Records)
Develop OCR + NLP pipelines to digitize scanned documents.
Use NER (Named Entity Recognition) to extract structured details (names, locations, coordinates, claim status, etc.).
AI-based Asset Mapping
Use Computer Vision on satellite imagery (Sentinel-2, Landsat, etc.).
Detect and classify:
• Agricultural land
• Forest cover
• Water bodies (ponds, rivers)
• Homesteads / settlements
Apply supervised ML models (CNNs, Random Forest, etc.) for land-use classification.
WebGIS Development
Build an interactive WebGIS platform with multiple data layers.
Features should include filtering (state/district/village), progress tracking, and visualization of integrated datasets.
Integration with socio-economic and infrastructure data.
Decision Support System (DSS)
Build a rule-based + AI-enhanced DSS engine.
Recommend and prioritize interventions/programs (e.g., water schemes, agricultural schemes, welfare programs).
Deliverables:
Digitized and AI-processed archive of legacy records.
AI-generated spatial asset maps.
Interactive WebGIS Atlas with layers & filters.
DSS engine with actionable recommendations.
Requirements:
Strong skills in Python, GIS, and Remote Sensing (QGIS, GDAL, Rasterio, GeoPandas, Google Earth Engine).
Familiarity with OCR + NLP/NER pipelines.
Experience in AI/ML for geospatial data.
WebGIS development experience (Leaflet, Mapbox, GeoServer, or similar).
Ability to think strategically and iterate quickly (hackathon-style prototyping).
Nice to Have:
Prior experience in building decision support systems or GIS portals.
Knowledge of Indian datasets (satellite imagery, government open data portals, socio-economic data).
Hackathon-winning experience or past project success (please share LinkedIn profile or proof links).
Location Preference:
Developers familiar with India’s data and geography will be preferred.