Contact person: Responsive Auction Map Aggregator

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Location: Canoas, Brazil

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a responsive web platform that brings together judicial and extrajudicial property auctions in one place, with an interactive map at its core. The map must plot every auctioned property, displaying the exact location and a clear visual cue of the auction’s status (aberto, suspenso, arrematado, etc.). When a user clicks an icon, the page should transition smoothly to a detailed auction view—photos, opening bid, key dates, court or bank, and the official URL—without relying on intrusive pop-ups.

Benchmark the overall experience against [login to view URL], [login to view URL], [login to view URL], [login to view URL] and leilaoninja.com. Our differentiators are:

• Smart map-first navigation: clustering, filters by city/state, date range, and status.
• AI-powered legal assistant capable of scanning a PDF edital, highlighting risks, and generating a one-page summary in plain Portuguese.
• Investment toolkit: an ROI calculator that factors in auction expenses, commission, and expected rental or resale value.
• Portfolio dashboard where users tag won properties, track expenses, upload documents, and see live profit projections.
• Custom alerts via e-mail, push, or WhatsApp whenever a new auction matches saved filters.

Tech preferences are flexible, but I’m leaning toward React or Vue on the front end and a Python (Django/FastAPI) or Node backend, with Leaflet, Mapbox, or Google Maps powering the geospatial layer. Clean REST or GraphQL endpoints are important because I plan to release an API later.

Deliverables:
1. Responsive web interface (desktop and mobile) with the live auction map and detail view fully functional.
2. Backend with endpoints that feed auctions, statuses, and user data, plus scheduled jobs for data ingestion.
3. AI legal assistant module wired to an LLM (OpenAI, Azure OpenAI, or similar) and basic prompt templates.
4. ROI calculator, portfolio pages, and alert system integrated with the primary user account.
5. Source code in Git, minimal setup docs, and a short Loom or PDF walkthrough demonstrating the flow above.

Success criteria: the map loads in under three seconds on 4G, clicking a marker reveals the correct auction detail every time, and the AI assistant returns an editable summary for a sample edital in under 30 seconds.

If you can help me turn this vision into a polished, scalable product, let’s chat about timelines and milestones." (client-provided description)