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Speaker Profile
Ms. Geetika_MI
Module 1: Foundations of AI in Food Technology
Basics of AI, ML, Deep Learning
Overview of Food Technology industry
Role of AI in: Agriculture (precision farming), Food processing, Food safety
AI-and-Machine-Learning Basics
Case Studies:
AI in smart farming (crop yield prediction)
Food demand forecasting
Day 1-AI in Food Technology
Hands On: Intro to Python (basic libraries: Pandas, NumPy)
Module 2: Computer Vision & Food Quality Inspection
Computer Vision in food inspection
AI for contamination detection
Image-based food grading systems
Tools:
OpenCV basics
Image classification models
Hands On: Build a simple food image classifier (fresh vs spoiled)
Day 2 FDP-AIFT
Module 3
Day 3 FDP-AIFT
Module 4
Day 4 AIFT