Cloud-Native Machine Learning Pipeline
Instead of running computationally intensive forecasting models directly within the application, Talentelgia designed a decoupled backend architecture using Python and Django. Predictive algorithms process commodity market data independently before exporting optimized datasets to Amazon S3. The React frontend then retrieves these pre-processed datasets, dramatically reducing server load while delivering fast, responsive performance for end users.



