MegaMoonBear

# Shape prep for 3 shapes: Circle, triangle, square
import math
import random

class Shape:
    def area(self):
        pass                                    # PASS statement used as a placeholder for future code

    def perimeter(self):
        pass                                    # PASS statement used as a placeholder for future code

MegaMoonBear

1. Read below
2. Next-step

• Pick Version A or B for week 1... I recommend Version A to learn full-stack basics (Flask + SQLite).
• Make decisions like these: Dog (before cat); healthy, top 5-10 breeds & mutt, 3-7yo); Actual or fake data before public crowd-sourcing

PROMPT: Based on the "nutrition" and "proposal" prompts and responses, review the info on the proposal titled, "Dog & Cat Nutrition – Crowd-Sourced Data". Based on that review: (1) List 3 adjustments to the proposal for a novice coder; (2) Suggest 2 versions of initial project, until crowd-sourced data can be gathered. (3) List updated characteristics of that proposal, including SMART objective components and the overall objective, based on 3 weeks with 10 hours per week investment in coding, testing, etc. (4) Provide 2 versions of a table that outlines the first week's 10-hour investment across 5 days with detailed tasks, tools, methods, and syntax. Syntax should only be CSS, HTML, JavaScript, Python, and SQL. If a key syntax languag

MegaMoonBear

Review adjustments for a novice coder

1. Shrink the MVP to one clear user flow

   • Build a single submission flow: species (dog/cat), breed (dropdown with top 10 + mutt), age range (3–7), food name (text), reaction (happy / sick / neutral), date, optional photo URL, and consent checkbox.
   • Keep validation minimal (required fields + simple client-side checks) so you can complete end-to-end quickly.

2. Prefer synthetic or curated seed data first

   • Start with a fixed synthetic seed (200–500 rows) that matches the form schema so front-end, back-end, and analysis can be built and tested before public crowdsourcing.
   • Mark seeded rows with a boolean flag (is_seed = true) so they’re treated differently when analyzing or publishing.

MegaMoonBear

This is a solid and ambitious 30-hour plan. The existing advice to scope down is excellent. Here are my suggestions to improve the schedule, tasks, and approach to make it even more manageable for a novice coder and ensure a successful prototype.

1. The Novice Coder Approach (A "Version A-Lite")

The jump to a full Flask + SQLite stack (Version A) is a significant hurdle for a novice in 10 hours. Setting up the database, defining a schema, and writing SQL INSERT statements is a common failure point.

• My Suggestion: I propose a "Version A-Lite" for Week 1.
• How: Instead of SQLite, have the Python Flask app write the form data to a simple CSV file.
• Why:
• Removes SQL: This completely removes the database setup and SQL syntax from Week 1, allowing the novice to focus on the core "web app" loop: HTML (form) $\rightarrow$ Python (Flask route) $\rightarrow$ Data (CSV).