Radius-Based College Search App with Real-Time Communication
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Solution Overview
Problem
Current college visitation tools lack specialized pre-attendance travel planning, real-time communication capabilities, and comprehensive data on nearby colleges, failing to efficiently and economically assist students in choosing relevant institutions within a chosen radius.
Innovation Solution
A method and system for creating customized groups of college destinations based on user-selected criteria, utilizing radius searching and real-time data gathering, presented on a computer or smart device, which includes searching for colleges within a chosen radius, providing detailed information, and enabling communication with selected colleges for itinerary planning and appointment scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive college visitation tools are used, then more college information is available, but the tools lack specialized pre-attendance travel planning and real-time communication capabilities
Solution Approach 1:
The system integrates multiple functions into a single platform: college search, radius-based location filtering, real-time communication with colleges, itinerary planning, and appointment scheduling. This multi-functional approach addresses the gap by providing specialized pre-attendance travel planning capabilities while maintaining comprehensive college information availability.
Solution Approach 2:
The system introduces real-time communication capabilities as an intermediary between students and colleges during the pre-attendance phase. This enables direct interaction, tour scheduling, and information exchange before the student enrolls, thereby enhancing the specialized planning capability without sacrificing information availability.
2Loss of energy
If radius searching is used to find nearby colleges, then travel costs are minimized, but the search results may be limited to a specific geographic area
Solution Approach 1:
The radius parameter is made dynamic and user-configurable, allowing students to adjust the search radius based on their budget, preferences, and geographic flexibility. This enables the system to minimize travel costs when students prefer local colleges while adapting to expand the search area when students are willing to travel farther, thus balancing cost efficiency with location flexibility.
Solution Approach 2:
The system changes the search parameter (radius) based on user input and preferences. By allowing dynamic adjustment of the radius parameter, the system can optimize travel costs for students who prefer nearby colleges while accommodating students who are willing to travel to more distant institutions, thereby resolving the contradiction between cost minimization and location flexibility.
3Measurement precision
If real-time data gathering is implemented, then more accurate and updated college information is provided, but the system complexity increases
Solution Approach 1:
The system implements real-time data gathering through feedback mechanisms that continuously update college information based on current conditions. This ensures accurate and up-to-date information is provided to students, while the feedback loop manages complexity by automatically updating data without requiring manual intervention or overly complex processing structures.
4Loss of time
If customized criteria filtering is used to narrow down college options, then time for college selection is reduced, but the filtering process becomes more complex
Solution Approach 1:
The filtering process is segmented into multiple independent criteria categories (e.g., academic criteria, financial criteria, geographic criteria, lifestyle criteria). Each criterion can be filtered separately and combined through logical operations, reducing the complexity of handling all criteria simultaneously while still enabling comprehensive filtering to narrow down college options efficiently.
Data Source
AI summary
A method for travel planning which includes a customized application and results in efficient customized grouping and coordination of selected locations and destinations based on a combination of user-selected criteria; radius searching; and real-time, simultaneous, multi-source data gathering, analysis, and derivation executed by and presented on a computer or smart device for user preference. At least one embodiment focuses on travel planning for visiting colleges and universities prior to making decisions on where to apply to or where to enroll.