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SurvaIQ — AI-Powered Property Surveying Platform

Ends the hours UK surveyors spend collating EPC, flood risk, and planning data by hand — AI pulls live government records and assembles the valuation report automatically.

Project screenshot coming soon

The challenge —

UK surveyors were spending hours on every valuation collating EPC certificates, Environment Agency flood data, and planning constraints from separate government sources before report writing could even start. Valuation firms also needed team roles, a review workflow, and client files handled in one place.

What we built —

We built a Next.js + Node.js platform where creating a property project triggers AI report generation via a FastAPI service that pulls live UK EPC, flood risk, and planning data automatically and returns structured, configurable report sections. Vector embeddings per section enable RAG-based Q&A over any report, six roles cover the team from Admin to Viewer, and Socket.io keeps project and report status live for everyone.

Results —

3

UK government data sources pulled automatically

6

team roles, from Admin to Viewer

4

workflow stages: In Progress → Completed

RAG

conversational Q&A over every report section

Key Features —

AI-generated valuation reports with configurable sections — no manual collation

EPC certificates pulled automatically for any UK property, domestic or non-domestic

Environment Agency flood risk with severity levels, mapped onto Mapbox flood composites

Planning constraints surfaced instantly: conservation areas, listed buildings, green belt, AONB, brownfield land

Comparable property analysis with price-per-unit calculation

Ask any report a question — RAG-based conversational Q&A over every section

Real-time project status for the whole team, from In Progress to Completed

Tech Stack —

Next.js (Frontend), Node.js, Express.js, TypeScript, MongoDB (Mongoose), Socket.io, AWS S3, FastAPI (AI Report Service), JWT + Passport.js, UK EPC API, Environment Agency Flood API, UK Planning Data API, Mapbox, Geoapify, Nodemailer, Firebase Admin (FCM), PM2, Swagger/OpenAPI, Winston, Joi

Project Info —

Type:

Full-Stack AI Property Surveying Platform

Frontend:

Next.js (React)

Backend:

Node.js + Express.js + TypeScript

Database:

MongoDB (Mongoose) — Atlas

AI Service:

FastAPI (external) + Vector Embeddings (RAG)

Real-Time:

Socket.io (JWT-authenticated rooms)

Storage:

AWS S3 (presigned URL uploads)

Auth:

JWT + Passport.js + Google OAuth 2.0

External APIs:

UK EPC, Environment Agency Flood, UK Planning Data, Mapbox, Geoapify

Roles:

Admin, Senior Surveyor, Surveyor, Junior Surveyor, Report Writer, Viewer

Email:

Gmail SMTP (Nodemailer) with per-user preferences

Docs & Logging:

Swagger/OpenAPI + Winston

Security:

Helmet, rate limiting, file type/size validation

Deployment:

PM2 (production) + Vercel

Services used on this project —

AI Integration & AutomationSaaS Product DevelopmentAPI Development & Integrations
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