I’d like a web application that automatically serves three betting projections—moneyline (H2H), line/spread, and total points (over/under)—for every scheduled game in NRL, AFL, NBL, NBA, NHL, MLB, and NFL. The core engine should pull both historical sports data and live game feeds so the model can refresh numbers throughout the day. Two layers of insight are important to me: a simple headline price for each market and a deeper view that shows the confidence interval behind that figure. Alongside the AI price I also want the current bookmaker odds shown for easy comparison. Please include feeds or screen-scraping (whatever is most reliable) for the following operators: Tab, Sportsbet, Tabtouch, Pointsbet, Pickelbet, Ladbrokes, and Betfair. Weather has a meaningful impact on many of these sports, so the front end needs a clearly visible weather panel for every fixture, sourced from a reputable API and factored into the model where relevant. Deliverables • Responsive website or web app with a clean table/dashboard layout that updates automatically • Prediction engine incorporating historical datasets + live feeds • Confidence metrics displayed next to every AI price • Real-time odds comparison from the listed bookmakers • Weather module tied to each game • Basic admin area to manage API keys and refresh cycles I’m happy to discuss preferred tech stacks, but I expect standard web frameworks (React, Vue, or similar) coupled with a backend in Python, Node, or another language suited to data science workflows. Please outline your proposed data pipeline, model approach, and any third-party services you’ll rely on when you respond.