About
The convergence of data analytics and AI is reshaping the food industry by enabling hyper-personalized dietary solutions. This program delves into the principles of personalized nutrition and the role of big data and machine learning in optimizing food choices for individuals. Participants will learn how consumer data, genetic profiles, and lifestyle factors are utilized to recommend diets and create customized food products.
The program is tailored for those keen on applying AI and data-driven methodologies to food innovation. Through interactive modules and case studies, participants will gain practical insights into designing AI-driven systems for food personalization. The program emphasizes ethical considerations, data privacy, and the role of emerging technologies in building a sustainable food future.
Aim
This program explores the use of data analytics and AI to develop personalized food solutions tailored to individual preferences and nutritional needs. It focuses on leveraging technology to transform food experiences and promote health and sustainability.
Program Objectives
- Understand the fundamentals of food personalization.
- Explore the integration of data analytics and AI in food systems.
- Learn to develop personalized dietary recommendations.
- Analyze real-world case studies of AI-driven food innovations.
- Address ethical and regulatory challenges in personalized nutrition.
Program Structure
Week 1:
Introduction to Food Personalization
Basics of Data Analytics and AI in Food
Understanding Consumer Insights and Data Collection
Week 2:
AI Algorithms for Food Recommendation Systems
Nutrigenomics and Personalized Nutrition
Case Studies: AI-Powered Food Delivery Systems
Week 3:
Designing AI-Driven Food Products
Addressing Ethical and Privacy Concerns
Emerging Trends in Personalized Food Solutions
Week 4:
Building a Food Personalization Model
Industry Insights
Participant’s Eligibility
- Undergraduate degree in Food Science, Nutrition, Computer Science, Data Science, or related fields.
- Professionals in food technology, data analytics, or AI-based industries.
- Individuals with a strong interest in personalized nutrition and technological innovations in food.
Program Outcomes
- Knowledge of AI-driven tools for food personalization.
- Skills to analyze and interpret consumer data for customized solutions.
- Ability to develop sustainable, personalized food products.
- Insights into the ethical use of data in nutrition.
- Understanding of emerging trends in personalized food systems.
Program Deliverables
- Access to e-LMS
- Real-Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet