Land Quality API
Engineering case study.

The project

A Django REST backend for land management. It models owners, land parcels and soil quality assessments behind JWT authentication, and ships with environment-based configuration and a Docker Compose setup for the API and its PostgreSQL database. The API was later used by a company that sells land in Kenya. The public repository contains the base project only; the components completed or modified for that company are privately owned and cannot be shared.

How it fits together

My contribution

• Modelled owners, land parcels and quality assessments (pH level, moisture content, nutrient levels and a quality score) with relational links between them.
• Exposed CRUD REST endpoints with Django REST Framework viewsets and a router, secured by JWT token issue and refresh.
• Moved secrets and database settings into environment variables, with an example configuration file and a Docker Compose stack.
• Documented the API with an endpoint reference, data model diagram and quick-start requests in the repository README.

Engineering notes

• Every land-records endpoint requires authentication, so data is not exposed publicly by default.
• Serializers and viewsets keep the API thin: validation and persistence stay in the Django models and DRF layers.
• The coordinate-analysis prototype separates analysis and tokens into their own apps. Its geospatial retrieval step returns placeholder values, and integrations with OpenStreetMap, NASA Earthdata and Google Earth Engine are planned, not claimed as complete.