At a Glance

Name: Build AI Nutrition Coach with Llama-3.2 for Holidays
Price: Free CAD
Rating: 4.8 (18 reviews)
Author: hailey_quach, ricky_shi, fateme_akbari

Use the Llama-3.2-90B-Vision-Instruct Model and generative AI to build an AI Nutrition Coach that estimates caloric and nutritional content from food images! Learn to integrate visual recognition with nutritional databases to deliver instant calorie counts and personalized dietary advice. This guided project empowers you to use AI for promoting healthier lifestyle choices, offering hands-on experience in applying advanced AI models to real-world dietary management. Ideal for tech-savvy health enthusiasts and dietetics students, you can complete this project in just 60 minutes.

With Thanksgiving and the holidays season just around the corner, many of us are gearing up for a season of festive meals, delicious treats, and—let's be honest—a bit of calorie overload. Balancing the joy of holiday feasting with mindful eating can be challenging, especially when we want to enjoy every bite without overindulging. We’ve all been there, trying to estimate calories, decipher food labels, or second-guess our portion sizes. Imagine being able to make informed dietary decisions as simply as taking a picture of your plate. That’s where AI Nutrition Coach comes in.

For health-conscious individuals and dietitians alike, accurate calorie tracking can be a game-changer in promoting healthier eating habits and achieving fitness goals, even during the holiday season. But manually tracking every dish or estimating the nutritional content of complex holiday spreads can feel overwhelming. Using the Llama-3.2-90B-Vision-Instruct model and generative AI, the AI Nutrition Coach instantly analyzes food images to provide precise calorie counts and dietary advice. This project bridges the gap between technology and nutrition, empowering learners to enjoy the holiday season without sacrificing their wellness goals.

Disclaimer: The nutritional information and calorie estimates provided are approximate and are based on general food data. Actual values may vary depending on factors such as portion size, specific ingredients, preparation methods, and individual variations. For precise dietary advice or medical guidance, consult a qualified nutritionist or healthcare provider.

A sneak-peek into the final web app

Who should complete this project?

This project is ideal for technology enthusiasts, dietetics students, and anyone passionate about combining health and technology to solve real-world problems. If you’re someone who loves the idea of applying AI to everyday tasks and wants to make a tangible impact on promoting healthy living, this guided project is perfect for you. Whether you’re interested in technology and its application in the wellness industry or you’re simply keen on learning how to build AI-driven solutions for everyday challenges, this project will provide you with valuable skills and insights.

What you'll learn

After completing this project, you will:

Understand how to use the Llama-3.2-90B-Vision-Instruct Model for recognizing food items and estimating their nutritional values based on images.
Know how to integrate AI models with nutritional databases to analyze food images effectively and accurately.
Have the ability to provide instant calorie counts and offer personalized dietary recommendations, which can assist in meal planning and encourage healthier lifestyle choices.
Know how to build a simple web interface using Flask that allows users to easily interact with your application.

What you'll need

Before starting this guided project, you should have:

A basic understanding of AI and machine learning concepts to help you grasp the essentials of how the AI models work.
Familiarity with Python programming, as you’ll be writing code to implement parts of the AI model.
Access to a modern web browser, such as Chrome, Edge, Firefox, Internet Explorer, or Safari. The IBM Skills Network Labs environment is optimized for these platforms, providing a smooth experience.

Hands-on experience for real-world impact

Throughout this project, you’ll not only learn about AI model integration and image recognition but also experience how such technologies can be applied in meaningful ways to enhance everyday health practices. By the time you complete the project, you will have a functional AI-powered solution that can be deployed to help people make better dietary decisions instantly, bringing advanced AI capabilities directly to users’ fingertips and promoting healthier lifestyle choices. Whether for personal use or to enhance your professional skills, this engaging project will empower you to make real-world changes in how you approach health and nutrition.

Offered By: IBMSkillsNetwork

Build AI Nutrition Coach with Llama-3.2 for Holidays

At a Glance

Who should complete this project?

What you'll learn

What you'll need

Hands-on experience for real-world impact