Imlaak: Revolutionizing Property Search with Advanced Filters and Interactive Map Integration
Cutting-edge classified property application built on MERN stack, combining advanced search filters with interactive JPEG map pinpoints for faster and more engaging property discovery.
Screenshots
Overview
Project Overview
• Title: Imlaak: Revolutionizing Property Search with Advanced Filters and Interactive Map Integration • Industry: Real Estate • Project Category: Classified Property Application • Project Duration: 6 Months • Project Cost: $10,000 - $15,000 • Project Started On: Jan 2021 - July 2021 • Role: Team Lead & Developer • Live URL: https://imlaak.com/
Description
Imlaak is a cutting-edge classified property application designed to transform how users search for and list properties. Developed using the MERN stack, the platform focuses on seamless UX through advanced filters and visually engaging map-based property discovery. As Team Lead and Developer, I led delivery of interactive features such as clickable pins on JPEG maps to surface property details instantly.
Problem
• Inefficient Property Searches: Traditional platforms overwhelm users with unfiltered listings, slowing property discovery. • Lack of Visual Property Representation: Many solutions rely on basic maps or text-heavy listings, reducing engagement and clarity.
Solution
Technologies Used
• MongoDB: Scalable datastore for high-volume listings and property metadata.
• Express.js & Node.js: Backend APIs and service logic for efficient processing.
• React: Dynamic, responsive frontend for high-interaction user flows.
• AWS (EC2, Lambda, DynamoDB): Reliable cloud deployment and runtime scalability.
Impact
• Improved User Engagement: Increased session duration and repeat visits due to better UX and visual discovery.
• Higher Property Listings: Easier listing flow attracted more agents and property owners, expanding inventory depth.
• Positive Feedback: Users appreciated speed, clarity, and the interactive map experience.
Key Highlights
- Interactive JPEG map-based browsing with clickable property pins and instant details
- Advanced filtering improved speed and relevance of property discovery workflows
- MERN-based architecture delivered responsive UX and scalable listing operations
- Cloud deployment on AWS strengthened reliability and performance under load
- Increased engagement through visually rich, low-friction browsing experience
- Simplified listing flow drove higher participation from agents and property owners
Tech Stack
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