Flipkart Grid Traffic Demand Prediction

I created the Flipkart GRID Traffic Demand Prediction system for the Flipkart GRiD 2.0 Hackathon, implementing a reproducible ML pipeline in a Jupyter Notebook and a production script hosted on my GitHub github profile.

The repository is written in Python.

Development started in 2026-06 and the last update was also in 2026-06.

I engineered 74 features from raw multi-dimensional data (spatial, temporal, environmental).

I built an ensemble of 6 machine learning models for robust prediction.