Contact person: Business Client

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Location: Johnson City, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"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." (client-provided description)