Learning Recommendation Engine for Family Chore Management
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Solution Overview
Problem
Parents face challenges in supervising and managing how their children spend allowances, as conventional methods lack sufficient tools for adequate control and oversight, especially in a computer-based environment, and setting up chore management systems requires significant time and effort.
Innovation Solution
A server-based system that uses artificial intelligence, machine learning, and IoT techniques to recommend and manage family chores, allowing minimal user input, automatic scheduling, and integration with smart appliances, providing real-time tracking and rewards, thus reducing parental time spent on chore management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parents use conventional methods to manage and supervise children's allowance spending, then they can maintain some level of control, but they lack sufficient tools for adequate supervision and control in a computer-based environment
Solution Approach 1:
The patent introduces a digital currency system with parental control features as an intermediary between parents and children's spending. The system includes a parental control module that can approve or reject transactions, set spending limits, and monitor purchases in real-time, providing adequate supervision tools in the digital environment without requiring complex manual tracking methods
2Reliability
If parents set up a chore management system with detailed tracking and supervision tools, then they can adequately monitor children's activities and spending, but they have to expend significant time in setting up and maintaining the system
Solution Approach 1:
The patent implements automated chore assignment and tracking features where the system automatically assigns chores based on predefined criteria, tracks completion through digital verification, and distributes allowance automatically. This self-service approach maintains reliable supervision and monitoring while minimizing parental time investment in daily management tasks
Solution Approach 2:
The system allows parents to pre-configure chore assignments, spending limits, and allowance distribution parameters in advance. Once configured, the system automatically executes these predefined rules without requiring ongoing parental intervention, reducing the time parents spend on setup and maintenance while maintaining adequate control
Data Source
AI summary
A server for recommending tasks for completion includes a memory including a database configured to store information associated with a plurality of users, and an application coupled to a processor. The server stores a set of chores associated with a plurality of existing users. Each chore is matched with an existing user characteristic. The server receives a first request by a first user for registering with the application. The first request includes a first user characteristic. The server recommends a first chore assignment for the first user based on the first user characteristic. The first chore assignment is based on a comparison of the first user characteristic against a plurality of existing user characteristics. The server further sends a signal to an electronic device for displaying the first chore assignment.