Federated Learning Simulation System with Flwr

I'm looking for someone who already has a complete and functional Federated Learning simulation system built with Flower (flwr 1.7+) and can deliver it within 5 hours. The system must be modular, cleanly organized into folders, and include:

Multiple FL algorithms (FedAvg, FedProx, FedAdam, FedYogi, SCAFFOLD, COOP)

Dataset support: MNIST, CIFAR-10, FEMNIST, Shakespeare

IID and non-IID partitioning (Dirichlet sampling)

YAML-based configuration system

Full metrics collection (accuracy, loss, model drift, communication cost, fairness, privacy)

Real-time interactive dashboards using Plotly Dash (with export options)

Clear output folder structure: logs, plots, metrics per round, summary reports

A main CLI or script to run and analyze experiments

If you already built something like this and can share it (with working results, plots, and configurations), I'm ready to buy it now. Must include a test run + visual results.

Urgent delivery required — less than 5 hours.

Drop your GitHub repo, working demo, or screenshots to be considered. i need to showcase an analysis of performance of federatedd earning algorithms over so many scenarios