Digital Herb Scale Server for Personalized Cannabis Consumption
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Solution Overview
Problem
The cannabis industry lacks effective methods for customizing cannabis consumption plans based on individual user data, leading to inefficient strain selection and usage.
Innovation Solution
A system comprising a server computer and digital herb scale that collects and analyzes user metadata to group users with similar characteristics and consumption patterns, allowing for tailored cannabis consumption plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a digital herb scale and server computer system are implemented to collect and analyze user metadata, then personalized cannabis consumption plans can be created, but the device complexity increases
Solution Approach 1:
A server computer acts as an intermediary between multiple mobile computing devices and the herb scale, centralizing data processing and consumption plan generation. The server receives metadata from mobile devices and consumption data from the scale, then processes this information to create personalized plans, thereby managing system complexity centrally rather than distributing it across multiple devices.
Solution Approach 2:
The server computer performs multiple functions: collecting metadata from various mobile devices, receiving consumption data from the herb scale, analyzing this combined information, and generating personalized consumption plans. This multi-functionality consolidates what would otherwise require separate specialized systems into a single versatile platform.
2Reliability
If user metadata collection and analysis is performed to create customized consumption plans, then the effectiveness of strain selection is improved, but the loss of time for data processing increases
Solution Approach 1:
The system collects and stores user metadata in advance before actual consumption planning is needed. By pre-gathering physical details, consumption history, and preferences, the system prepares user profiles that can be quickly matched with appropriate cannabis strains when a user needs a consumption plan, reducing real-time processing delays.
Solution Approach 2:
The system continuously collects consumption data from the herb scale and uses this feedback to refine and update personalized consumption plans. This ongoing feedback loop allows the system to learn from actual usage patterns and improve strain recommendations over time, enhancing effectiveness while spreading data processing across multiple smaller updates rather than one large batch process.
Data Source
AI summary
A system for monitoring and customizing herb consumption, comprising: a server computer; at least one digital herb scale for coupling to a mobile computing device for monitoring herb consumption; the server computer is configured to perform the following: obtaining metadata of a person including physical details and herb consumption information gathered by the digital herb scale; based on the metadata, finding a group of at least two persons that have at least one matching parameter in their physical details and herb consumption information; in said group, finding a sub-group of at least two persons that further have an at least one additional matching parameter in their physical details and herb consumption information; customizing a plan for herb consumption for a person based on herb consumption information of at least one other person in said sub-group.