App Agro (Agrônomo)
WhatsApp bot for agricultural operational and financial management — the app itself. (The description that was previously in MSE lives here; MSE is the graduation goal.)
- Mission: MGAGRO — a group of people with a measurable goal.
- Goal: solve farmers’ problems + academic recognition → SMART goals.
- Foundation: MS&E research → professors.
- Experience / design: why games, UX, personalization.
NotebookLM content to import in
content/app/.
Epics · MGAGRO-
Each item is an epic (user story); the DoD uses Given / When / Then. Derived from the SMART goals in Universe Objectives. Deadlines to confirm with Yuri (meeting Jun 25).
| # | Epic | Status |
|---|---|---|
MGAGRO-1 | Product validation | to do |
MGAGRO-2 | Management and data engineering | to do |
MGAGRO-3 | Academic recognition | to do |
MGAGRO-1· Product validation and real impactStory: As a farmer, I want a reliable WhatsApp bot, so that I don’t miss operational and financial deadlines (and, as Miguel, validate the MVP and generate impact metrics). DoD
- Given the stable MVP (audio transcription + alerts by phone call), When in use by a controlled base, Then there are ≥20 active users and satisfaction >95%.
- Given the test period, When consolidated, Then deadline failures due to forgetfulness drop 80% and 30% of the base becomes subscribers.
MGAGRO-2· Management and data engineeringStory: As Miguel, I want to structure the data and route optimization, so that I validate the MS&E “major fit”. DoD
- Given the field interactions (expenses, routes, inputs), When collected, Then there is 1 structured database.
- Given the database, When modeled, Then there is 1 predictive/optimization model (hidden costs + fuel) documented.
MGAGRO-3· Academic recognitionStory: As Miguel, I want feedback from MS&E professors, so that I obtain architecture insights and ammunition for the Supplemental Essays. DoD
- Given the report/portfolio, When I do outreach to the 6 mapped faculty, Then I obtain ≥1 qualified response (technical feedback or Office Hours).
- Given the interaction, When it occurs, Then I extract ≥2 insights applicable to the architecture and the essays.