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Imlaak: Revolutionizing Property Search with Advanced Filters and Interactive Map Integration

International real estate consultancy and classified property application transforming property search with advanced filters and a custom JPEG map-based display featuring clickable pins — built on the MERN stack with AWS cloud services.

Screenshots

Imlaak: Revolutionizing Property Search with Advanced Filters and Interactive Map Integration - Screenshot 1

Overview

Imlaak (Jan 2021 – Aug 2021), developed at EmporionSoft Pvt Ltd, is a cutting-edge classified property application and international real estate consultancy platform designed to revolutionize the way users search for and list properties. As Team Lead and Developer, I led the effort to integrate innovative features such as clickable pins on JPEG maps, delivering detailed property information efficiently. Imlaak provides 360 solutions for real estate investors, combining asset management with a seamless digital experience.

Problem: • Inefficient Property Searches: Traditional platforms overwhelm users with unfiltered listings, making it challenging to locate desired properties quickly. • Lack of Visual Property Representation: Current solutions often rely on basic map integration or textual descriptions, failing to provide an engaging and accurate property visualization.

Solution: • Enhanced Search Filters: Implemented advanced filters based on property type, price, location, and more. Designed an intuitive interface ensuring ease of use for all users. • Map Integration with JPEG Pinpoints: Developed a custom map-based property representation using JPEG images. Enabled clickable pins on maps to display detailed property insights, including price, square footage, and contact details, without redirecting users.

Technologies Used: • MongoDB: Scalable and flexible database for managing extensive property listings. • Express.js & Node.js: Backend architecture for efficient data handling and API processing. • React: Responsive and dynamic frontend ensuring seamless interaction. • AWS (EC2, Lambda, DynamoDB): For reliable cloud-based deployment and enhanced performance.

Impact: • Improved User Engagement: Significant increase in session times and return visits due to the user-friendly interface and engaging features. • Increased Listings: The user-friendly interface and unique features encouraged more property owners and agents to list their properties, resulting in a comprehensive database of options for buyers and renters. • Positive Feedback: The application received positive feedback from users for its ease of use, efficient search functionality, and unique map-based property visualization.

Conclusion: Imlaak stands as a testament to the power of innovative thinking and technical expertise in addressing real-world challenges. By focusing on user experience and leveraging the capabilities of the MERN stack, this project not only achieved its objectives but also set a new standard for property search platforms — demonstrating the ability to deliver high-quality, impactful solutions in the competitive real estate landscape.

Key Highlights

  • Custom JPEG map-based property display with clickable pins for instant property details
  • Advanced property search filters by type, price, location, and more
  • Detailed property info (price, sq footage, contact) without page redirects
  • Significant increase in session times and return visits post-launch
  • Increased listings from agents and property owners — enriching the property database
  • Scalable MERN stack architecture with AWS EC2, Lambda, and DynamoDB
  • International real estate consultancy platform offering 360 solutions for investors

Tech Stack

ReactNode.jsExpress.jsMongoDBAWS DynamoDBAWS LambdaAmazon EC2JavaScriptTailwind CSSBootstrapFull-Stack DevelopmentBack-End Web DevelopmentAPI DevelopmentCloud ComputingReal EstateAsset Management

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