{"repo":"2417467487-hub/WorldCupROI","free":true,"listed":false,"github":"https://github.com/2417467487-hub/WorldCupROI","clone":"git clone https://github.com/2417467487-hub/WorldCupROI.git","description":"Sports sponsorship intelligence platform for World Cup match data, real-source text signals, ROI prediction, uncertainty analysis, and scenario recommendations.","language":"Python","stars":353,"topics":["business-intelligence","machine-learning","plotly","sponsorship","sports-analytics","streamlit","world-cup","roi-prediction"],"license":null,"category":"machine-learning","readme_excerpt":"WorldCupROI AI Sports Sponsorship Intelligence Platform WorldCupROI blends match performance, media attention, fan behavior, sponsor investment, scenario simulation, and uncertainty risk into one sponsor ROI decision platform. The goal is not only to predict football results, but to help answer: which sponsorship strategy should a brand choose, under what risk, and why? Link Target --- --- Website Open WorldCupROI in browser Live Demo make dashboard Static Dashboard dashboard/panel dashboard.html Executive Summary reports/executive summary.pdf Business Report reports/business insights.md Data Card reports/data card.md Model Card reports/model card.md Deployment Guide docs/deployment.md Platform Hero Overview Core result snapshot Area Current value --- ---: Platform health score 100 / 100 Match accuracy 0.5566 Match log loss 0.9780 Sponsor ROI MAE 0.1177 Sponsor ROI R2 0.8838 Match conformal coverage 0.9021 ROI interval coverage 0.8814 Average Monte Carlo std 0.1320 10-Second Overview WorldCupROI is a reproducible sports sponsorship analytics project with four layers: Layer What it does Business value --- --- --- Data intelligence Separates real historical data, real text data, and proxy/mock commercial data Makes data boundaries visible before decisions ML modeling Trains match outcome and sponsor ROI models with validation outputs Converts sports and attention signals into measurable ROI forecasts Risk and explainability Adds SHAP-style drivers, conformal intervals, Monte Ca","default_branch":null,"files":null,"tree":[],"storefront":"/r/2417467487-hub","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/2417467487-hub/WorldCupROI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}