AI-GIS Mapping Prototype for School Project
Budget: ₹600 – ₹1,500 INR
Project Overview:
We need a very simple and low-cost prototype for a GIS and AI-based mapping project under India’s Forest Rights Act (FRA), 2006. This is just a proof of concept — fast, lightweight, and minimal. This is for a school project.
Scope of Work (2 Tasks):
1. AI-Based Asset Mapping (Very Basic)
Use basic computer vision / ML to identify from satellite imagery:
-Agricultural land
-Forest cover
-Water bodies (ponds, streams)
-Homesteads
You can use Sentinel-2, Google Earth, or other free satellite sources.
Basic models like Random Forest, simple CNN — no high accuracy needed.
Output: labeled map (or GeoTIFF/shapefile) with basic classification.
2. WebGIS Viewer (Minimal Frontend)
Develop a very basic interactive map to display:
Layers: village boundaries, detected land-use, and assets
Filters: by state/district/village
FRA progress (just dummy data for now)
You can use Leaflet, OpenLayers, or Mapbox.
Simple toggle on/off layers, clickable village boundaries.
Host locally or on free tier (GitHub Pages, Vercel, etc.)
Deliverables:
AI-detected asset map (GeoTIFF or Shapefile + image)
WebGIS demo with interactive layers and filters
Clean, well-commented code + README
Timeline:
->3 Days only — this is urgent and for demo purposes only.
Budget:
Very low — please quote your best minimal price.
(Prefer freelancers who can work fast and affordably for a concept model.)
Ideal For:
AI/ML freelancers with experience in satellite imagery
WebGIS developers (students/early-career welcome)
Anyone who can quickly build a simple working demo
To Apply, Please Include:
Your total cost
Confirmation you can complete in 3 days
Any samples or similar work (if available)
We need a very simple and low-cost prototype for a GIS and AI-based mapping project under India’s Forest Rights Act (FRA), 2006. This is just a proof of concept — fast, lightweight, and minimal. This is for a school project.
Scope of Work (2 Tasks):
1. AI-Based Asset Mapping (Very Basic)
Use basic computer vision / ML to identify from satellite imagery:
-Agricultural land
-Forest cover
-Water bodies (ponds, streams)
-Homesteads
You can use Sentinel-2, Google Earth, or other free satellite sources.
Basic models like Random Forest, simple CNN — no high accuracy needed.
Output: labeled map (or GeoTIFF/shapefile) with basic classification.
2. WebGIS Viewer (Minimal Frontend)
Develop a very basic interactive map to display:
Layers: village boundaries, detected land-use, and assets
Filters: by state/district/village
FRA progress (just dummy data for now)
You can use Leaflet, OpenLayers, or Mapbox.
Simple toggle on/off layers, clickable village boundaries.
Host locally or on free tier (GitHub Pages, Vercel, etc.)
Deliverables:
AI-detected asset map (GeoTIFF or Shapefile + image)
WebGIS demo with interactive layers and filters
Clean, well-commented code + README
Timeline:
->3 Days only — this is urgent and for demo purposes only.
Budget:
Very low — please quote your best minimal price.
(Prefer freelancers who can work fast and affordably for a concept model.)
Ideal For:
AI/ML freelancers with experience in satellite imagery
WebGIS developers (students/early-career welcome)
Anyone who can quickly build a simple working demo
To Apply, Please Include:
Your total cost
Confirmation you can complete in 3 days
Any samples or similar work (if available)