Brief Project Description: Multilingual Real Estate Aggregator (MVP)

Project Essence

A multilingual and multi-currency platform for searching real estate in Azerbaijan (and other countries). The project focuses on aggregating listings from various sources with the ability to search, filter, and view in different languages while displaying prices in different currencies.

Main Features

Data Collection

• Parsing 6 sources (2 from each country):
• Automatic regular updates and data refresh

Search and Filtering

• Search by location, property type, price, area, rooms
• Toggle between "Buy" and "Rent"
• Display results in a list and on a map

Multilingualism and Multi-currency

• Support for 4 languages: English, Russian, Ukrainian, Azerbaijani
• Support for 5 currencies: AZN, UAH, RUB, USD, EUR
• Automatic language and currency detection based on geolocation (system or browser)
• Manual switching capability

Technologies

• Backend: Django, PostgreSQL, Redis, Celery
• Frontend: Next.js, React, Leaflet (maps)
• DevOps: Docker, Docker Compose, CI/CD

Priority Requirements

1. SEO optimization with multilingual support
2. Performance (loading time no more than 2 seconds)
3. Scalable architecture for future expansion

NOT included in MVP (if successful collaboration continues, we will implement step by step)

• User registration
• Personal account
• Saving favorite listings
• Notifications
• AI-based recommendations

Design Requirements

• MANDATORY: Minimalistic, clean design focusing on functionality
• MANDATORY: Compliance with Material Design principles or a similar design system
• MANDATORY: Responsiveness for all device types
• DESIRABLE: Support for light and dark themes
• MANDATORY: Architecture must allow easy addition of new languages
• MANDATORY: System must allow easy addition of new data sources
• MANDATORY: Capability to expand to new regions/countries

Technical Documentation

• MANDATORY: API documentation
• MANDATORY: Project deployment instructions
• MANDATORY: Database structure description
• MANDATORY: Guide for adding new parsers