This web app a client-driven, web-based proof-of-technology developed as part of the
Professional Software Projects module at Sheffield Hallam University.
The project explores how simple geospatial visualisation and public environmental data can be combined to highlight potential parasite risk indicators for grazing livestock across the UK.
⚠️ This is a prototype designed to support discussion and understanding.
It does not provide clinical diagnosis or predictive modelling.
- Visualise pasture or farm locations on an interactive UK map
- Integrate simple external environmental data (e.g. weather)
- Apply a transparent, rule-based parasite risk indicator
- Present results clearly to non-technical users
- Support discussion rather than automated decision-making
- Farmers
- Veterinarians
- Agricultural advisors
- Internal Elanco teams (engineering, data, product)
Users are assumed to be non-technical and value clarity and explainability.
- HTML, CSS, JavaScript
- Leaflet.js (interactive mapping)*
- OpenStreetMap tiles*
- GeoJSON for pasture/farm data*
- Lightweight Node.js or serverless functions
- Public weather API (e.g. rainfall and temperature)
- Simple rule-based risk logic (Low / Medium / High)
- GitHub (version control)
- Netlify / GitHub Pages (deployment)*