I’m launching HomeValue usa, a web application that empowers real-estate agents to give their clients instant, data-driven property insights. The build will be in Python/Django, backed by a clean PostgreSQL schema and a modern front-end (React or Django templates—whichever you’re most comfortable with). Core users • Real-estate agents log in to manage everything. • Their clients access read-only reports through secure, shareable links—no extra roles needed. Agent-side functionality 1. Property valuations: pull data via public APIs or CSV import, run valuation algorithms, and surface an easy-to-read estimate with confidence scores. 2. Agent dashboard: at a glance see active clients, recently generated reports, market trends, and follow-up reminders. 3. Lightweight lead management: capture leads from a simple webform, assign statuses (new, contacted, nurtured, closed), and export to CSV. Client-facing reports Each report should automatically include: • Property value trends (historical chart) • Comparable listings table • The agent’s photo, bio, and contact links Project scope & expectations • A working MVP hosted on Heroku, Railway, or any Docker-based setup I can redeploy easily. • Clean, well-documented Django apps, DRF endpoints where appropriate, and responsive UI components. • Source in a private Git repo with weekly commits and a brief progress note. • Basic test coverage for critical valuation logic and authentication. • Hand-off session walking me through deployment and future feature hooks. If you’ve built data-heavy Django apps before and can turn complex real-estate data into an intuitive experience, I’d love to see examples of your past work and hear how you’d approach the valuation module.