AI for Pet Nutrition Recommendation

What is the main goal for this project?
This project explores how artificial intelligence can be applied to enhance pet health and wellness through personalized insights. The objective is to create intelligent systems that interpret pet dietary data and recommend tailored wellness plans based on individual pet characteristics—bridging the gap between technology and proactive pet care.

What tasks will learners need to complete to achieve the project goal?

• Clean and standardize nutrition and product data from various pet food sources.
• Build structured schemas for organizing nutrients, ingredients, and pet life stages.
• Define relevant features for developing AI-powered recommendation tools.
• Generate synthetic pet profiles to simulate a wide range of dietary needs.
• Document workflows and prepare training-ready datasets for future model development.

These tasks help learners understand how AI can be leveraged in personalized consumer health and wellness applications.

How will you support learners in completing the project?
Learners will receive guidance from mentors with expertise in data science and wellness-focused AI. They'll have access to curated datasets, structured learning sprints, and collaborative review tools. Continuous feedback and milestone-based check-ins will help learners translate theory into real-world impact in the growing pet care technology space.