Project Commuters Haven | Sam Baloch Portfolio

Commuters Haven

Project type

Innovation, App Design & Prototype

Tools

Figma

Overview

My ongoing personal project is an app designed to revolutionise the property search process by prioritising users' commuting patterns. Unlike traditional searches based solely on neighbourhood preferences, this app tailors recommendations according to users' daily or regular commute routes. Whether it's selecting a preferred train or bus route or pinpointing locations with direct services to multiple destinations, the app caters to individuals who prioritise convenience in their daily commute, especially for work or other routine destinations.

Data-Driven Commute Prioritisation

Initially, we analyse user data to identify common commuting routes, informing the development of algorithms to prioritise property recommendations based on users' commuting patterns.

Streamlined Search Experience

We design a user-friendly interface for easy input of preferred train or bus routes, supported by robust backend systems to match users with suitable property listings.

Integration of Enhanced Features

Additional features such as multi-destination search and real-time transport updates are seamlessly integrated to refine property search results and enhance user experience.

Approach

Personalised
Commute-Centric Search

By allowing users to input their preferred train or bus route, the app streamlines the property search process, focusing on locations accessible via their regular commute.

Efficient Multi-Destination Search

Users can input two different locations and find properties offering direct train or bus services to both, catering to individuals managing multiple destinations in their daily routine.

Customisable Filters for Commute Preferences

The app offers filters allowing users to specify their tolerance for connections during their commute, empowering them to tailor search results according to their preferences.

Real-Time Transport Updates and Commute Estimations

Integrating real-time transport information, the app provides updates on schedules, delays, and disruptions, alongside estimating average commute times from each property to specified destinations.

Key Takeaways

Conclusion

This app represents a significant step forward in property search technology, leveraging commuting patterns to offer tailored recommendations for users. With its array of features designed to enhance convenience and efficiency, it aims to simplify the process of finding a suitable place to live for individuals prioritising the ease of their daily commute. By focusing on user-centric design and integration with transportation systems, the app stands poised to revolutionise the way people search for properties.