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Fernando

PROFILE

Fernando

Francisco Villaseñor developed the Team 2 Flower Management System for the SE4CPS/DMS repository, focusing on automating and improving plant care workflows. He designed and implemented a robust flower data model in Python and SQL, supporting features like water and water-loss simulation, delete actions, and team-specific pages using Flask and HTML. In April, he extended the system to track maximum water capacity, refactored backend logic for overwatering detection, and updated the UI for accurate Healthy or Overwatered status reporting. His work delivered reliable data persistence, enhanced analytics, and improved operational decision-making, demonstrating strong backend and database engineering depth.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

9Total
Bugs
0
Commits
9
Features
3
Lines of code
233
Activity Months2

Work History

April 2025

3 Commits • 2 Features

Apr 1, 2025

April 2025 performance summary for SE4CPS/DMS: Delivered key plant-water management features and stability improvements that directly drive better care decisions and dashboard accuracy. Introduced Maximum Water Capacity Tracking, updating the database schema, backend processing, and UI to consider both minimum and maximum water requirements. Implemented overwatering detection with a new max_water_required constraint, refactored flower management, and updated the water status logic and UI to support accurate Healthy/Overwatered reporting. These changes improve watering decisions, reduce plant stress, and provide clearer operational metrics for stakeholders.

March 2025

6 Commits • 1 Features

Mar 1, 2025

March 2025: Delivered the Team 2 Flower Management System for SE4CPS/DMS, centralizing team2 flower data and workflows. Implemented a new flower data model (last_watered, water_level, min_water_required), team-specific pages, and a water/water-loss simulation. UI improvements include delete and water actions; achieved reliable data persistence with proper loading into team2_flowers DB and a robust delete_flower handler, and migrated water loss simulation to POST. This work enhances automation, data accuracy, and team2 operational efficiency, delivering measurable business value through streamlined care workflows and improved analytics.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture75.6%
Performance75.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

HTMLPythonSQL

Technical Skills

Backend DevelopmentDatabase ManagementFlaskFrontend DevelopmentHTMLWeb Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

SE4CPS/DMS

Mar 2025 Apr 2025
2 Months active

Languages Used

HTMLPythonSQL

Technical Skills

Backend DevelopmentDatabase ManagementFlaskFrontend DevelopmentHTMLWeb Development

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