Replit - AI Project

Project Overview:‍

To design and develop a behavioral tracking utility that optimizes puppy house-training through data-driven insights. By correlating physiological inputs (feeding/drinking) with elimination patterns (pee/poop), the application identifies peak biological windows and provides predictive alerts to streamline the potty-training process and reduce domestic accidents.

Goal:‍

Rapid Prototyping - to leverage Replit to move beyond static Figma mocks into a functional CRUD (Create, Read, Update, Delete) application.