Artificial Intelligence & ML · Intermediate

AI-Powered Prediction of Invoice Payment Delays in Corrugated Box Manufacturing SMEs

An AI-powered system that predicts invoice payment delays for corrugated box manufacturing SMEs.

Speech Recognition APIRazorpayPythonscikit-learnPandas

An AI-powered system that predicts invoice payment delays for corrugated box manufacturing SMEs. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want hands-on experience of the whole machine learning workflow: data collection and cleaning, feature engineering, model training and tuning, evaluation and presenting results.

The main parts are an order and payment flow, data preparation and exploration, model training and comparison of algorithms, evaluation with standard metrics, and a simple interface or API to try predictions. The reference build uses Speech Recognition API, Razorpay, Python, scikit-learn, and Pandas, with a clear project structure, setup instructions and sample data so that it can be run and extended.