AV WTP Tracker Web Application -- 3

I have a calibrated research model that converts textual news and policy statements about automated vehicles (AVs) into dynamic estimates of the public’s willingness-to-pay (WTP). What I now need is a robust, public-facing web application that takes that model out of my notebooks and puts it in front of everyday users. Scope • Deploy the full application on AWS – that is my preferred and only hosting environment. • The ingestion layer will receive regular CSV drops containing the raw AV text data. Your code should validate each file, pass it through the existing model (Python notebooks and a pickled scorer are ready), and write the resulting WTP estimates with timestamps to a database you set up. • On the front end, visitors must be able to: – Filter the data by date range, topic tags and geography. – Generate custom PDF/CSV reports on demand. – Explore WTP movements through responsive, interactive charts (think Plotly or D3). Deliverables 1. Clean, well-documented source code (backend, frontend, and infrastructure as-code for AWS). 2. Deployed live site with secure HTTPS, autoscaling, and nightly backups. 3. One-click admin interface for uploading new CSVs and monitoring model runs. 4. README covering setup, deployment and maintenance steps. 5. Short video walk-through confirming all three user interactions work as specified. Acceptance criteria • A new CSV upload appears in the dashboard within five minutes and its WTP results are visible in the charts. • All filters, report downloads and chart interactions work on Chrome, Firefox and Edge, desktop and mobile. • Lighthouse performance score ≥ 80 on the main page. • No critical or high vulnerabilities flagged by OWASP ZAP scan. If this sounds like your wheelhouse, let’s discuss timelines and any clarifications you need.