Why it exists
Bring property operations and useful AI assistance into the same role-aware product workflow.
2026 / Project case study
AI-Powered Real Estate Platform
An end-to-end real estate platform combining multi-role property operations with recommendation, valuation, document intelligence, automation, and accessible AI.
Bring property operations and useful AI assistance into the same role-aware product workflow.
Connected React interfaces, NestJS and FastAPI services, document intelligence, recommendations, valuation, and real-time operations.
Complete multi-service platform
Explore the implementationSmartProperty connects a React product experience with NestJS and FastAPI services, MongoDB data, real-time workflows, AI and machine-learning capabilities, OCR solvency analysis, computer vision, deployment configuration, and role-specific journeys for agents, administrators, clients, and accountants.
AI-powered real estate platformCreate, publish, discover, compare, visit, apply for, and manage properties across one connected workflow.
Dedicated operational views for real-estate agents, administrators, clients, and accountants.
Multi-slot visit scheduling, application tracking, status history, and decisive follow-up actions.
Ranks properties using budget, preferences, listing attributes, and location criteria.
XGBoost estimates sale and rental pricing from property attributes and historical market data.
CLIP and BLIP interpret property photos and generate room-by-room listing descriptions.
OCR extracts identity, income, and supporting evidence for applicant verification.
Affordability, mismatches, occupation, document quality, and reuse checks produce explainable review evidence.
Approve, review, or reject recommendations stay visible and require an explicit agent action.
Groq-powered conversation answers property questions, estimates budgets, and guides users through the platform.
Natural-language voice input supports hands-free search and navigation.
Socket.IO updates and branch-level engagement signals connect daily operations to measurable listing activity.
Role-specific experiences share one platform layer while specialized services handle valuation, recommendations, documents, imagery, and assisted interaction.











The React application presents focused journeys for agents, administrators, clients, and accountants while NestJS coordinates authentication, business services, media, payments, and realtime events.
Specialized services turn property data, user preferences, uploaded documents, and listing imagery into explainable product assistance.
Container, orchestration, automation, and quality configuration support the multi-service product as one maintainable engineering system.
Actual project screens and documented visuals. Open any image for the full view.












Each role needed focused information and permissions without fragmenting the shared property, visit, application, and financial lifecycle.
Valuation, recommendations, image understanding, and solvency analysis had to expose useful evidence instead of presenting opaque model output.
Product APIs, realtime events, ML services, media, maps, payments, and document extraction needed clear contracts and resilient failure behavior.
Feature-rich dashboards still needed readable hierarchy, keyboard-aware controls, voice input, and understandable feedback.
Solvency recommendations remain reviewable and require an explicit agent action before application state changes.
Open a technology to see its role in this project.
Role-specific product journeys and dashboards
Responsive interface and design system
Global product and authentication state
Interactive 360-degree property tours
API gateway, authentication, and business services
Machine-learning and computer-vision services
Product and service communication
Realtime events and notifications
Payment workflows
Property valuation and rent prediction
Conversational assistance and decision rationale
Property-image understanding and descriptions
Applicant-document extraction and solvency analysis
Preference, budget, and property matching
Primary product data and analysis outputs
Location-aware property discovery
Property media storage and transformation
Container and orchestration configuration
Delivery automation and quality gates
Agents, administrators, clients, and accountants each receive a focused operational journey.
Recommendation, valuation, image description, solvency analysis, and conversational assistance work inside the product.
Discovery, listing, visits, applications, decisions, payments, analytics, and administration connect as one system.
Notifications and dashboard signals keep role-specific work aligned with platform activity.
Document evidence, anomaly signals, and explicit recommendations support rather than replace the reviewer.
Explore the available resources or talk with me about the design and engineering behind this project.