Project 04 · Property Management

Vacancy to Tenancy AI Screening

An AI system that screens 200 rental applicants and scores every single one in the time it takes a property manager to read 3 CVs manually. Built in 5 hours with $0 budget. Deployed to production.

n8n Tally.so Groq API LLaMA 3.1 Airtable Gmail API AI Scoring
99.7%
Faster Processing
100%
Zero Ghosting
$0
Total Cost

How it works

01
Applicant fills form Tally.so form collects: name, income, move-in date, reason for moving, pets, guarantor info
02
n8n captures instantly Webhook triggers immediately on submission. Data formatted and prepared for AI scoring.
03
AI scores applicant (1-10) Groq API (LLaMA 3.1) analyzes: income vs rent ratio, stability signals, red flags, overall fit. Scores in <1 second.
04
Intelligent routing Score 7-10: Auto email with viewing link | Score 4-6: Request more info | Score 1-3: Polite decline
05
Airtable updates in real-time Property manager sees clean shortlist organized by score tier. Zero manual data entry.

The Tech Stack

n8n
Automation backbone (self-hosted, free)
Tally.so
Applicant intake forms (free tier)
Groq API
AI scoring with LLaMA 3.1 (free)
Airtable
Database & live views (free tier)
Gmail API
Automated email responses (free)
LLaMA 3.1
70B parameter model for scoring

The Results

60 seconds
vs 3+ days to screen 200 applicants
100%
Response rate (zero applicants ghosted)
40%
Void period reduction
PKR 9.6M+
Annual value for 10-property portfolio
$0
Total implementation cost
5 hours
Time to build and deploy

Ready to automate your rental screening?

This system runs in 48 hours. Zero down time, zero technical knowledge needed.

Discuss on Upwork →