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CTRI Number  CTRI/2025/10/095791 [Registered on: 09/10/2025] Trial Registered Prospectively
Last Modified On: 08/10/2025
Post Graduate Thesis  No 
Type of Trial  Interventional 
Type of Study   Preventive
Behavioral
Other (Specify) [Mobile based application]  
Study Design  Randomized, Parallel Group Trial 
Public Title of Study   "Validation and effectiveness of Ai- Driven Food Image Analysis for Nutrient Estimation and Dietary Monitoring" 
Scientific Title of Study   A Technology-Driven Approach to Dietary Monitoring: Validation Support, and Effectiveness Assessment for Nutrient Estimation via AI-powered Food Image Analysis 
Trial Acronym  NIL 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Dr Cherian Varghese 
Designation  Professor and Director 
Affiliation  Prasanna School of Public Health 
Address  Room no 1, Director Cabin, 1st floor, Prasanna school of public health, Manipal

Udupi
KARNATAKA
576104
India 
Phone  8281458226  
Fax    
Email  cherian.varghese@manipal.edu  
 
Details of Contact Person
Scientific Query  
Name  Dr Cherian Varghese 
Designation  Professor and Director 
Affiliation  Prasanna School of Public Health 
Address  Room no 1, Director Cabin, 1st floor, Prasanna school of public health, Manipal

Udupi
KARNATAKA
576104
India 
Phone  8281458226  
Fax    
Email  cherian.varghese@manipal.edu  
 
Details of Contact Person
Public Query  
Name  Rosemin Shaji Joseph 
Designation  Research Associate 
Affiliation  Prasanna School of Public Health 
Address  Room no G-3, ground floor, Prasanna school of public health, Manipal

Udupi
KARNATAKA
576104
India 
Phone  9632427795  
Fax    
Email  rosemin.joseph@learner.manipal.edu  
 
Source of Monetary or Material Support  
Dure Technologies 
 
Primary Sponsor  
Name  Dure Technologies 
Address  1101/1102 centrum IT Park, Thane, Mumbai 400080 
Type of Sponsor  Other [Digital innovation] 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Dr Cherian Varghese  Manipal Academy of Higher Education (MAHE)  Manipal academy of higher education, madhav nagar, Manipal
Udupi
KARNATAKA 		 8281458226

cherian.varghese@manipal.edu 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Kasturba Medical College and Hospital Institutional Ethics Committee  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Healthy Human Volunteers  Prevention of obesity, dietary and lifestyle modifications,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Mobile based application  Mobile based Ai-powered nutrition tracking application developed by Dure technologies in collaboration with MAHE, Manipal. The application will capture the food image and analyzed on portion, nutrient composition, and total calorie intake. A weekly nutrition score on meal logging, balanced meals and user engagement will be provided along with nutritional feedback for users.  
Comparator Agent  Nutrition Pamphlets   Google form based on the similar questions from the mobile based application will be provided on 1 weekend, 2 weekdays for inputs. Along with it a Nutritional pamphlet on balanced meals, healthy food choices, food sources will be provided.  
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  30.00 Year(s)
Gender  Both 
Details  Willing to provide consent and participate for the full study duration.  
 
ExclusionCriteria 
Details  Diagnosed with metabolic/medical condition that requires specific dietary intake.
Regular users of other nutrition tracking or health-monitoring apps.
Currently participating in another similar study.  
 
Method of Generating Random Sequence   Permuted block randomization, variable 
Method of Concealment   Sequentially numbered, sealed, opaque envelopes 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
Validation of developed AI-powered nutrition app  baseline 
 
Secondary Outcome  
Outcome  TimePoints 
NIL  NIL 
 
Target Sample Size   Total Sample Size="100"
Sample Size from India="100" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   Phase 1/ Phase 2 
Date of First Enrollment (India)   27/10/2025 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="0"
Months="3"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary  
Poor dietary habits and limited nutrition awareness are major contributors to long-term health risks. Scalable, personalized digital tools are needed to promote healthier eating behaviors, and AI–based applications offer a practical solution.
This randomized, controlled interventional study will evaluate the short-term feasibility and effectiveness of an AI-powered mobile application for personalized nutrition tracking among students of Manipal Academy of Higher Education (MAHE), Manipal. The nutrition tracker, developed by Dure Technologies in collaboration with MAHE, is supported by a comprehensive, quantified database of mess meals across the MAHE campus to enable accurate nutrient analysis of meals captured by participants.
Participants will be randomized into two groups for a 3-month period:
• Experimental group: Dietary intake recorded through the AI-powered mobile application.
• Control group: Dietary intake recorded using a Google Form with the same question format. A nutrition pamphlet will be provided for the study participants. 
Primary outcomes include the feasibility of routine dietary tracking and personalized nutrition feedback using the AI-based app, as well as the accuracy of the AI model in estimating nutrient intake and identifying dietary imbalances. Findings will generate preliminary data to inform future scale-up and real-world implementation of the application.
 
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