AI-Powered-Tax-Optimization
Random Forest model and Flask API that return one optimised tax figure from nine financial inputs.
What it does
Trains a Random Forest Regressor on historical tax data and serves it through a Flask REST API: a POST to /optimize_tax with nine numeric features returns one predicted 'optimized_tax' value. It needs Python 3 and the listed libraries; the README addresses businesses and finance teams. The repository shows no licence, and the README names no country and does not say what the nine inputs are.
Licence unknown: we found no licence we could recognise. Check with the maintainers before you reuse the code.
Where it fits on the map
Not on the map: inactive and a demo.
The map places maintained projects for a company tax department or a tax authority, without a demo or paid-service flag. Everything else stays on the list with its label.
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Maintain this project?
Link to this page from your README, so readers find the facts, the notes and where it fits. The badge is a small SVG served from this site.
[](https://tax-oss.com/projects/ai-powered-tax-optimization/)