Nutrition Analytics and Diet Planning Software

1–5 day (configurable) 2nd · 3rd · PG Open to all branches Fits Science & Food Technology streams — Degree & Engineering

Why colleges run this

Nutrition and wellness are growing employment areas; graduates who can analyse dietary data and use diet-planning software meet demand in healthcare, food and wellness firms.

Course outcomes

CO1
Describe nutrient requirements and dietary guidelines
K2
CO2
Assess dietary intake from recorded data
K3
CO3
Analyse dietary data against requirements
K4
CO4
Build an evidence-based diet plan with software
K3
CO5
Produce a diet plan for a stated case
K5

Modules tap a module for its theory & lab

Hours shown are the recommended 3-day format — module time scales to the duration you pick.

01Nutrition foundations4 h
Theory
Nutrients, requirements, guidelines
Lab
Map nutrient requirements
Output
Requirements sheet
02Dietary assessment4 h
Theory
Intake data, assessment methods
Lab
Assess a dietary intake
Output
Intake assessment
03Nutrition analytics4 h
Theory
Analysing dietary data
Lab
Analyse dietary data
Output
Diet analysis
04Diet planning4 h
Theory
Planning principles, software tools
Lab
Build a diet plan with software
Output
Diet plan
05Special needs4 h
Theory
Planning for conditions and goals
Lab
Adapt a plan to a condition
Output
Adapted plan
06Capstone4 h
Theory
An analysed case and a diet plan
Lab
Produce a case-based diet plan
Output
Case diet plan

Every participant receives

Certificate of completion Course material LMS access Interview question bank Mock interview & viva practice

Designed by

VK
Venkat KurelaFounder & Director, Kurela Cognisive Private Limited
₹1,800per student · 3 days
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