WordCloud ML: Project Brief and User Guide

WordCloud ML is a tool designed to help time-constrained millennials visualize potentially marketable concepts derived from their passions, aiding in side-business ideation.

Application (MVP): Word cloud passion-to-business idea visualizer

Business Objective: Increase side-business idea clarity rapidly

ML Objective: Identify core marketable passion concepts

Target User: Time-constrained millennial professional, 5 minutes/day for side-business

System Input: List of passion-related words/phrases

System Output: Categorized visual word cloud of marketable concepts

ML Approach: Unsupervised Learning (Clustering, Dimensionality Reduction)

1. Start broad, then consistently narrow focus 2. Insist on clear, concise definitions 3. Ask targeted, goal-oriented questions 4. Patience in process, willing to slow down when necessary 5. Emphasize brevity and core elements 6. Iterative refinement of concepts

Concise, clear sentences

Narrow, focused scope

Simplified, actionable outputs

Step-by-step problem solving

Periodic summarization of progress

The project is ready to move into feature development and implementation of the unsupervised learning model.

When continuing this project: 1. Refer to this brief for context 2. Maintain the established narrow focus 3. Continue the pattern of iterative refinement 4. Prioritize actionable, implementable solutions