Hackathon Favorite With the Most Weighted Picks

Problem

You are given one DataFrame, `nominations`, loaded from `nominations.csv` with columns `judge` and `project`. Each row records that a judge nominated a project as a favorite. A judge gets one total vote: if a judge nominates several projects, that vote is split equally among them (nominating 2 projects gives each 0.5). An empty `project` means the judge abstained and contributes nothing.

Find the project(s) with the highest total weighted score. Return `project`, ordered by `project`.

Input data

Example rows — the live problem includes the full dataset.

Expected output

Your answer should return 1 row with the columns project.

Starter code (Pandas (Python))

import pandas as pd

def hackathon_favorite(nominations) -> pd.DataFrame:
    # Your code here
    return nominations

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