ME ESG Clean Energy Analytics.
Tracks clean-energy investment across eight Middle East countries from 2015 to 2024, with machine-learning forecasts out to 2030, one pipeline serving three different front ends.
A single data pipeline feeds three deployed interfaces: a React analytics dashboard, a documented FastAPI backend, and a Streamlit explorer for deeper interrogation. Forecasts to 2030 run on a combination of Ridge regression, Random Forest, and eight per-country Prophet time-series models.
2015–2024
shared pipeline
horizon
The dataset is calibrated-synthetic, and the project says so, in the interface, on purpose.
It models real policy events to keep the shape and timing of the trends honest, but it is not presented as primary data. Stating that plainly is treated as part of the work, not a caveat buried in a footnote: the analysis is only as trustworthy as its provenance is clear.