Property Assist Case Study: Real Estate App

Quick summary

Client:: Property Assist, a real estate platform
Problem:: property search ran on phone calls, scattered listings and manual follow-up
What we built:: a React Native app where users list, manage, buy and sell property, with secure login, role-based access and built-in messaging
Stack:: React Native, Node.js, MongoDB, Firebase, Twilio, Razorpay, Google Cloud Vision
Timeline:: research 20 days, design 35, development 60, QA 30

A Real Estate App to Bring Best Property At Your Fingertips

Real estate still runs heavily on calls, scattered information, and endless coordination. Somewhere in the process, clarity gets lost.

This was the exact challenge our client wanted to solve.

Project Objectives

To meet the specific needs of users for property management and lead sharing.

To develop an app that supports property discovery with full listing details in one place.

To make a platform that helps users move from phone calls and paper to digital.

Our Approach

Robust Development: Developed a centralized platform with advanced tools where users can easily list, manage, sell, and buy properties.

Data Safeguard Mechanism: Enforced end-to-end encryption and secure authentication parameters.

Integrated Communication: Integrated a reliable communication system with app’s core functionality.

Adaptive User Interface: A UI built for a fast-moving audience.

Project Dashboard

Property Assist: a React Native app to list, buy and sell property – picture 1

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Project Timeline

Initial Research and Planning (20 days)

Detailed market research, discussed project development outlines, set further objectives.

Designing and Prototyping (35 days)

Designed interactive UI/UX interfaces while keeping people related to real estate in touch to ensure design feasibility.

Application Development (60 days)

Developed a secure, user-centric app with role-based access and seamless functioning to replace outdated practices.

Quality Testing and Evaluation (30 days)

Comprehensive testing on multiple devices to evaluate optimum performance and ensure hassle-free launching.

Technological Integration

Frontend: React Native

Backend: Node.js

Database: MongoDB

Payment Gateway: RazorPay

Cloud Service: Google Cloud Vision

APIs: Firebase, Twilio

App screens

Property Assist: a React Native app to list, buy and sell property – picture 2

Property Assist: a React Native app to list, buy and sell property – picture 4

Results

The demand for the app is increasing rapidly, and it has not been long since its launch. Since its launch, it has improved the efficiency of users who want simplified search mechanism to get a right property for themselves. Now users can pick, demonstrate, and discuss any listed property at their fingertips.

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Questions about this project

What is Property Assist?

Property Assist is a real estate service app that Prilient built for a client. Users list, manage, buy and sell properties in one place, with secure login and built-in messaging.

Which technologies did you use to build Property Assist?

React Native for the mobile app, Node.js for the backend and MongoDB for the database, with Firebase and Twilio APIs, Razorpay for payments and Google Cloud Vision.

How long did the Property Assist app take to build?

About 145 days across four phases: 20 days of research and planning, 35 days of design and prototyping, 60 days of development and 30 days of quality testing.

How does the app keep user data secure?

The app uses end-to-end encryption, secure authentication and role-based access, so each user sees only what their role allows.

Can you add AI to a real estate app?

Yes. Common additions are a WhatsApp AI chatbot that answers listing questions and books site visits, an AI voice agent that answers enquiry calls after hours, and document AI that reads property papers. See our AI agent development services.

Building something similar?

Most property apps we scope today add AI on top of the basics: a WhatsApp AI chatbot that answers listing questions and books site visits, an AI voice agent that answers enquiry calls after hours, and document AI that reads property papers. If you only need the app itself, see custom software development.