User Matching System for Over 40 Social and Carpool Connections
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Solution Overview
Problem
There is a lack of mobile apps that allow individuals and couples over 40 to meet for platonic relationships and ride-sharing, and no app matches users based on health and wellness goals.
Innovation Solution
A computer-implemented method that electronically receives user profiles with traits like age, gender, interests, health and wellness goals, and location, and matches users based on shared preferences, enabling communication for friendship, carpooling, and health-related activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mobile app is created to match users over 40 for platonic relationships and ride-sharing, then user connection and social engagement is improved, but device complexity and development requirements increase
Solution Approach 1:
The mobile application integrates multiple functions including user profiling, matching algorithms, communication tools, carpooling coordination, and event organization into a single platform. This multi-functional design addresses the technical contradiction by consolidating various social and logistical needs into one application, improving user connection capability while managing development complexity through unified architecture.
Solution Approach 2:
The application divides the matching process into distinct segments: profile creation, preference setting, algorithmic matching, mutual acceptance, and communication enablement. This segmentation allows complex matching logic to be broken down into manageable modules, improving the system's ability to connect users while reducing development and maintenance complexity through modular design.
2Measurement precision
If the app matches users based on multiple traits including health and wellness goals, then matching precision is improved, but information processing complexity increases
Solution Approach 1:
The matching algorithm processes multiple user traits (age range, gender, location, interests, health and wellness goals) as configurable parameters. By changing the weightings and thresholds of these parameters, the system achieves precise matching without requiring complex processing for each individual trait combination. The parameters are optimized to balance matching precision with computational efficiency.
Solution Approach 2:
Users complete their profiles and specify preferences in advance before matching occurs. This preliminary action of providing structured information about traits and goals allows the matching algorithm to process data more efficiently during the actual matching phase, improving precision while reducing real-time processing complexity.
3Adaptability or versatility
If the app enables communication for multiple activity types including carpooling and friend blasts, then functionality and versatility are improved, but system complexity increases
Solution Approach 1:
The application merges multiple communication and coordination functions (friend blasting, carpooling requests, event invitations, direct messaging) into a unified communication system. This combining approach improves versatility by handling multiple activity types within a single platform while managing system complexity through shared infrastructure and standardized communication protocols.
Data Source
AI summary
The presently described systems connect people based on age range, location, shared interests, activities, and health and wellness goals and provide for group communications through a friend blast or carpool request among users of the system.